Abstract
Nowadays, the globe faces an urgent need to switch to sustainable and renewable sources of energy due to the rising concern over climate change and the finite supply of fossil fuels. Technologies for producing energy from renewable sources have become a viable option for achieving sustainable development and addressing environmental issues. This edited book provides a collection and overview of the role, advances, and different paradigms that renewable energy plays in promoting sustainable development, stressing both the potential advantages and difficulties. In this book, 68 are included, which represent the different types of applications in the area of renewable power for sustainable growth such as: (1) Smart Grid Technologies and Applications (5 chapters); (2) Renewable Power Systems including Solar PV, Solar Thermal, and Wind (10 chapters); (3) Power Generation, Transmission and Distribution (8 chapters); (4) Transportation Electrification and Automotive Technologies (10 chapters); (5) Power Electronics and Applications in Renewable Power System (8 chapters); (6) Energy Management and Control System (7 chapters); (7) Energy Storage in Modern Power System (5 chapters); (8) Active Distribution Network (4 chapters); (9) Artificial Intelligence in Renewable Power Systems (5 chapters); and (10) Cyber-Physical Systems and Internet of Things in Smart Grid and Renewable Power (5 chapters).
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International Energy Agency (IEA) report on renewable energy market update—June 2023, outlook for 2023 and 2024. Online. Available at: https://iea.blob.core.windows.net/assets/63c14514-6833-4cd8-ac53-f9918c2e4cd9/RenewableEnergyMarketUpdate_June2023.pdf. Accessed 1 June 2023
ARENA’s regional market analysis. Online. Available at: https://www.irena.org/Energy-Transition/Policy/Regional-Market-Analysis. Accessed 1 June 2023
Our world in data, renewable energy. Online. Available at: https://ourworldindata.org/renewable-energy. Accessed 1 June 2023
The Paris Agreement. Online. Available at: https://www.un.org/en/climatechange/paris-agreement. Accessed 1 June 2023
NREL, USA information on biomass energy basics. Online. Available at: https://www.nrel.gov/research/re-biomass.html. Accessed 1 June 2023
Geothermal energy. Online. Available at: https://en.wikipedia.org/wiki/Geothermal_energy. Accessed 1 June 2023
Tidal energy. Online. Available at: https://education.nationalgeographic.org/resource/tidal-energy/. Accessed 1 June 2023
Malik H, Mishra S (2016) Application of gene expression programming (GEP) in power transformers fault diagnosis using DGA. IEEE Trans Ind Appl 52(6):4556–4565. https://doi.org/10.1109/TIA.2016.2598677
Ahmad MW et al (2020) A fault diagnostic and post-fault reconfiguration scheme for interleaved boost converter in PV-based system. IEEE Trans Power Electron 36(4):3769–3780. https://doi.org/10.1109/TPEL.2020.3018540
Malik H, Mishra S (2017) Artificial neural network and empirical mode decomposition based imbalance fault diagnosis of wind turbine using TurbSim, FAST and Simulink. IET Renew Power Gener 11(6):889–902. https://doi.org/10.1049/iet-rpg.2015.0382
Malik H, Mishra S (2018) Application of GEP to investigate the imbalance faults in direct-drive wind turbine using generator current signals. IET Renew Power Gener 12(3):279–291. https://doi.org/10.1049/iet-rpg.2016.0689
Malik H, Sharma R (2017) Transmission line fault classification using modified fuzzy Q learning. IET Gener Transm Distrib 11(16):4041–4050. https://doi.org/10.1049/iet-gtd.2017.0331
Yadav AK et al (2013) Application of neuro-fuzzy scheme to investigate the winding insulation paper deterioration in oil-immersed power transformer. Electr Power Energy Syst 53:256–271. https://doi.org/10.1016/j.ijepes.2013.04.023
Ahmad MW et al (2021) Non-invasive model-based open-circuit switch fault detection of AC-bypass leg switches in transformerless PV inverter. IEEE J Emerg Sel Top Power Electron. https://doi.org/10.1109/JESTPE.2021.3098195
Mishra S et al (2014) Selection of most relevant input parameters using Waikato environment for knowledge analysis for gene expression programming based power transformer fault diagnosis. Int J Electr Power Compon Syst 42(16):1849–1862. https://doi.org/10.1080/15325008.2014.956952
Malik H, Mishra S (2017) Selection of most relevant input parameters using principle component analysis for extreme learning machine based power transformer fault diagnosis model. Int J Electr Power Compon Syst 45(12):1339–1352. https://doi.org/10.1080/15325008.2017.1338794
Sharma R, Malik H (2017) EMD and ANN based intelligent fault diagnosis model for transmission line. J Intell Fuzzy Syst 32(4):3043–3050. https://doi.org/10.3233/JIFS-169247
Ahmaduddin SS, Malik H (2018) Gene expression programming (GEP) based intelligent model for high performance concrete comprehensive strength analysis. J Intell Fuzzy Syst 35(5):5403–5418. https://doi.org/10.3233/JIFS-169822
Shah AK et al (2018) EMD and ANN based intelligent model for bearing fault diagnosis. J Intell Fuzzy Syst 35(5):5391–5402. https://doi.org/10.3233/JIFS-169821
Malik H, Mishra S (2017) FAST and Simulink based simulation investigation of wind turbine faults. Int J Renew Energy Technol 8(3/4):286–304. https://doi.org/10.1504/IJRET.2017.088970
Malik H (2018) Wavelet and Hilbert Huang transform based wind turbine imbalance fault classification model using K-nearest neighbor algorithm. Int J Renew Energy Technol 9(1/2). https://doi.org/10.1504/IJRET.2018.090105
Alotaibi MA et al (2022) Power quality disturbance analysis using data-driven EMD-SVM hybrid approach. J Intell Fuzzy Syst 42(2):669–678. https://doi.org/10.3233/JIFS-189739
Kukker A et al (2020) Reinforcement learning based genetic fuzzy classifier for transformer faults. IETE J Res 1–12. https://doi.org/10.1080/03772063.2020.1732844
Alotaibi MA et al (2022) Cyberattacks identification in IEC 61850 based substation using proximal support vector machine. J Intell Fuzzy Syst 42(2):1213–1222. https://doi.org/10.3233/JIFS-189783
Ahmad MW et al (2022) Development of wide area monitoring system for smart grid application. J Intell Fuzzy Syst 42(2):827–839. https://doi.org/10.3233/JIFS-189752
Azeem A et al (2022) Real-time harmonics analysis of digital substation equipment based on IEC-61850 using hybrid intelligent approach. J Intell Fuzzy Syst 42(2):741–754. https://doi.org/10.3233/JIFS-189745
Sarita K et al (2022) Principal component analysis technique for early fault detection. J Intell Fuzzy Syst 42(2):861–872. https://doi.org/10.3233/JIFS-189755
Bisht VS et al (2022) A data-driven intelligent hybrid method for health prognosis of lithium-ion batteries. J Intell Fuzzy Syst 42(2):897–907. https://doi.org/10.3233/JIFS-189758
Nageswara Rao P et al (2020) Global sliding mode suspension control and condition monitoring of bearingless switched reluctance motor under eccentric faults. Energies 13(20):5485, 1–38. https://doi.org/10.3390/en13205485
Azeem A et al (2021) Design of hardware setup based on IEC 61850 communication protocol for detection & blocking of harmonics in power transformer. Energies 14(24):8284, 1–27. https://doi.org/10.3390/en14248284
Bhattacharjee T et al (2022) Hardware development and interoperability testing of a multivendor-IEC-61850-based digital substation. Energies 15(5):1785, 1–19. https://doi.org/10.3390/en15051785
Sharma R et al (2020) Fuzzy reinforcement learning based intelligent classifier for power transformer faults. ISA Trans. https://doi.org/10.1016/j.isatra.2020.01.016
Malik H, Almutairi A (2021) Modified fuzzy-Q-learning (MFQL)-based mechanical fault diagnosis for direct-drive wind turbines using electrical signals. IEEE Access 9:52569–52579. https://doi.org/10.1109/ACCESS.2021.3070483
Chandra R et al (2020) A survey of failure mechanisms and statistics for critical electrical equipment in buildings. In: IECON 2020 the 46th annual conference of the IEEE industrial electronics society, pp 1955–1961. https://doi.org/10.1109/IECON43393.2020.9254225.63
Pandya Y et al (2018) Feature extraction using EMD and classifier through artificial neural networks for gearbox fault diagnosis. In: Applications of artificial intelligence techniques in engineering. Advances in intelligent systems and computing, vol 697, pp 309–317. https://doi.org/10.1007/978-981-13-1822-1_28
Kaushal P et al (2018) A hybrid intelligent model for power quality disturbance classification. In: Applications of artificial intelligence techniques in engineering. Advances in intelligent systems and computing, vol 697, pp 55–63. https://doi.org/10.1007/978-981-13-1822-1_6
Reza MW et al (2018) Wide area monitoring system using integer linear programming. In: Applications of artificial intelligence techniques in engineering. Advances in intelligent systems and computing, vol 698, pp 23–30. https://doi.org/10.1007/978-981-13-1819-1_3
Sharma T et al (2018) A novel intelligent bifurcation classification model based on artificial neural network (ANN). In: Applications of artificial intelligence techniques in engineering. Advances in intelligent systems and computing, vol 698, pp 53–61. https://doi.org/10.1007/978-981-13-1819-1_6
Check D et al (2018) A novel intelligent transmission line fault diagnosis model based on EEMD and multiclass PSVM. In: Applications of artificial intelligence techniques in engineering. Advances in intelligent systems and computing, vol 698, pp 85–92. https://doi.org/10.1007/978-981-13-1819-1_9
Singh KV et al (2017) Condition monitoring of wind turbine gearbox using electrical signatures. In: IEEE ICMDCS 2017, pp 1–6. https://doi.org/10.1109/ICMDCS.2017.8211718
Mishra S, Malik H (2016) Application of fuzzy Q learning (FQL) technique to wind turbine imbalance fault identification using generator current signals. In: Proceedings of IEEE PIICON-2016, 25–27 Nov 2016, pp 1–6. https://doi.org/10.1109/POWERI.2016.8077283
Mishra S, Malik H (2016) Application of gene expression programming (GEP) to investigate the health condition of direct-drive wind turbine using FAST and TurbSim. In: Proceedings of IEEE IICPE-2016, 17–19 Nov 2016, pp 1–6. https://doi.org/10.1109/IICPE.2016.8079508
Malik H, Aggarwal A, Sharma R (2016) Feature extraction using EMD and classification through probabilistic neural network for fault diagnosis of transmission line. In: Proceedings of IEEE ICPEICES-2016, pp 1–6. https://doi.org/10.1109/ICPEICES.2016.7853709
Sharma R et al (2016) Selection of most relevant input parameters using Weka for artificial neural network based transmission line fault diagnosis model. In: Proceedings of the international conference on nanotechnology for better living, vol 3, no 1, p 176. https://doi.org/10.3850/978-981-09-7519-7nbl16-rps-176
Mishra S, Malik H (2016) Application of extreme learning machine (ELM) in paper insulation deterioration estimation of power transformer. In: Proceedings of the international conference on nanotechnology for better living, vol 3, no 1, p 209. https://doi.org/10.3850/978-981-09-7519-7nbl16-rps-209
Kumar G et al (2016) Learning vector quantization neural network based external fault diagnosis model for three phase induction motor using current signature analysis. Procedia Comput Sci 93:1010–1016. https://doi.org/10.1016/j.procs.2016.07.304
Mishra S, Malik H (2015) Proximal support vector machine (PSVM) based imbalance fault diagnosis of wind turbine using generator current signals. Energy Procedia 90:593–603, IIT Bombay, 15–17 Dec 2015. https://doi.org/10.1016/j.egypro.2016.11.228
Sharma S et al (2015) External fault classification experienced by three-phase induction motor based on multi-class ELM. Procedia Comput Sci 70:814–820. https://doi.org/10.1016/j.procs.2015.10.122
Mishra S, Malik H (2015) Application of LVQ network in fault diagnosis of wind turbine using TurbSim, FAST and Simulink. In: Michael Faraday IET international summit 2015, pp 474–480. https://doi.org/10.1049/cp.2015.1679
Khatri A et al (2015) Probabilistic neural network based incipient fault identification using DGA dataset. Procedia Comput Sci 58:665–672. https://doi.org/10.1016/j.procs.2015.08.086
Mishra S, Malik H (2015) Application of probabilistic neural network in fault diagnosis of wind turbine using FAST, TurbSim and Simulink. Procedia Comput Sci 58:186–193. https://doi.org/10.1016/j.procs.2015.08.052
Mittal AP et al (2014) External fault identification experienced by 3-phase induction motor using PSVM. In: Proceedings of IEEE international conference on power India (PIICON 2014), New Delhi, India, 5–7 Dec 2014. https://doi.org/10.1109/POWERI.2014.7117762
Mishra S, Malik H (2014) Feature selection using RapidMiner and classification through probabilistic neural network for fault diagnostics of power transformer. In: Proceedings of IEEE international conference on emerging trends and innovation in technology (INDICON 2014), Pune, India, 11–13 Dec 2014. https://doi.org/10.1109/INDICON.2014.7030427
Mishra S, Malik H (2014) Fault identification of power transformers using proximal support vector machine (PSVM). In: Proceedings of IEEE international conference on power electronics (IICPE 2014), NIT Kurukshetra, India, 8–10 Dec 2014. https://doi.org/10.1109/IICPE.2014.7115842
Mishra S, Malik H (2014) Application of gene expression programming (GEP) in power transformers fault diagnosis using DGA. In: Proceedings of IEEE international conference on power India (PIICON 2014), New Delhi, India, 5–7 Dec 2014. https://doi.org/10.1109/POWERI.2014.7117782
Mishra S, Malik H (2015) Extreme learning machine based fault diagnosis of power transformer using IEC TC10 and its related data. In: Proceedings of IEEE India annual conference (INDICON-2015), pp 1–5. https://doi.org/10.1109/INDICON.2015.7443245
Singh S et al (2012) UV/VIS response based fuzzy logic for health assessment of transformer oil. Procedia Engineering 30:905–912. https://doi.org/10.1016/j.proeng.2012.01.944. ISSN: 1877-7058
Mahto T et al (2012) Make use of DGA to carry out the transformer oil-immersed paper deterioration condition estimation with fuzzy-logic. Procedia Eng 30:569–576. https://doi.org/10.1016/j.proeng.2012.01.900. ISSN: 1877-7058
Jarial RK et al (2012) Application research based on modern technology for transformer health index estimation. In: Proceedings of IEEE international multi conference on systems, signals and devices (SSD), Chemnitz, Germany, 20–23 Mar 2012, pp 1–7. https://doi.org/10.1109/SSD.2012.6198012
Mahto T et al (2019) Condition monitoring and fault detection & diagnostics of wind energy conversion system (WECS). In: Soft computing in condition monitoring and diagnostics of electrical and mechanical systems. Springer Nature, pp 121–154. https://doi.org/10.1007/978-981-15-1532-3_5
Bakhsh FI et al (2019) Fault analysis of variable frequency transformer (VFT) for power transfer in-between synchronous grids. In: Soft computing in condition monitoring and diagnostics of electrical and mechanical systems. Springer Nature, pp 269–286. https://doi.org/10.1007/978-981-15-1532-3_12
Mahto T et al (2011) An expert system for incipient fault diagnosis and condition assessment in transformers. In: Proceedings of IEEE international conference on computational intelligence and communication networks, pp 138–142. https://doi.org/10.1109/CICN.2011.27
Yadav AK et al (2011) Make use of UV/VIS spectrophotometer to determination of dissolved decay products in mineral insulating oils for transformer remnant life estimation with ANN. In: Proceedings of IEEE international conference on engineering sustainable solutions, INDICON-2011, pp 1–6. https://doi.org/10.1109/INDCON.2011.6139574
Jarial RK et al (2011) Application research based on modern technology to investigating causes and detection of failures in transformers on the bases of importance level. In: Proceedings of IEEE international conference on engineering sustainable solutions, INDICON-2011, pp 1–6. https://doi.org/10.1109/INDCON.2011.6139577
Kushwaha N et al (2011) Paper insulation deterioration estimation of power transformer using fuzzy-logic: part-2. In: Proceedings of IEEE international conference on engineering sustainable solutions, INDICON-2011, pp 1–5. https://doi.org/10.1109/INDCON.2011.6139532
Jarial RK et al (2011) Application of modern technology for fault diagnosis in power transformer energy management. In: Proceedings of IEEE international conference on communication system’s network technologies, pp 376–381. https://doi.org/10.1109/CSNT.2011.84
Jarial RK et al (2011) Fuzzy-logic applications in cost analysis of transformer’s main material weight. In: Proceedings of IEEE international conference on computational intelligence and communication networks, pp 386–389. https://doi.org/10.1109/CICN.2011.81
Yadav AK et al (2015) Application of rapid miner in ANN based prediction of solar radiation for assessment of solar energy resource potential of 76 sites in northwestern India. Renew Sustain Energy Rev 52:1093–1106. https://doi.org/10.1016/j.rser.2015.07.156
Yadav AK et al (2014) Selection of most relevant input parameters using WEKA for artificial neural network based solar radiation prediction models. Renew Sustain Energy Rev 31:509–519. https://doi.org/10.1016/j.rser.2013.12.008
Yadav AK et al (2018) Daily array yield prediction of grid-interactive photovoltaic plant using relief attribute evaluator based radial basis function neural network. Renew Sustain Energy Rev 81(Part 2):2115–2127. https://doi.org/10.1016/j.rser.2017.06.023
Azeem A et al (2018) K-NN and ANN based deterministic and probabilistic wind speed forecasting intelligent approach. J Intell Fuzzy Syst 35(5):5021–5031. https://doi.org/10.3233/JIFS-169786
Arora P et al (2018) Wind energy forecasting model for northern-western region of India using decision tree and MLP neural network approach. Interdiscip Environ Rev 19(1):13–30. https://doi.org/10.1504/IER.2018.089766
Fatema N et al (2022) Hybrid approach combining EMD, ARIMA and Monte Carlo for multi-step ahead medical tourism forecasting. J Intell Fuzzy Syst 42(2):1235–1251. https://doi.org/10.3233/JIFS-189785
Khursheed T et al (2022) Multi-step ahead time-series wind speed forecasting for smart-grid application. J Intell Fuzzy Syst 42(2):633–646. https://doi.org/10.3233/JIFS-189736
Fatema N et al (2022) Deterministic and probabilistic occupancy detection with a novel heuristic optimization and back-propagation (BP) based algorithm. J Intell Fuzzy Syst 42(2):779–791. https://doi.org/10.3233/JIFS-189748
Alotaibi MA et al (2022) A new hybrid model combining EMD and neural network for multi-step ahead load forecasting. J Intell Fuzzy Syst 42(2):1099–1114. https://doi.org/10.3233/JIFS-189775
Yadav AK et al (2020) A novel hybrid approach based on relief algorithm and fuzzy reinforcement learning approach for predicting wind speed. Sustain Energy Technol Assess 43. https://doi.org/10.1016/j.seta.2020.100920
Yadav AK et al (2021) Case study of grid-connected photovoltaic power system installed at monthly optimum tilt angles for different climatic zones in India. IEEE Access 9:60077–60088. https://doi.org/10.1109/ACCESS.2021.3073136
Yadav AK et al (2021) Novel approach to investigate the influence of optimum tilt angle on minimum cost of energy based maximum power generation and sizing of PV systems: a case study of diverse climatic zones in India. IEEE Access 9:110103–110115. https://doi.org/10.1109/ACCESS.2021.3102153
Yadav AK et al (2014) Comparison of different artificial neural network techniques in prediction of solar radiation for power generation using different combinations of meteorological variables. In: Proceedings of IEEE international conference on power electronics, drives and energy systems (PEDES-2014), pp 1–5. https://doi.org/10.1109/PEDES.2014.7042063
Kumar G et al (2016) Generalized regression neural network based wind speed prediction model for western region of India. Procedia Comput Sci 93:26–32. https://doi.org/10.1016/j.procs.2016.07.177
Garg P et al (2016) Infogain attribute evaluator and ANN based wind speed prediction model for Rajasthan, north-west region of India. In: Proceedings of the international conference on nanotechnology for better living, vol 3, no 1, p 233. https://doi.org/10.3850/978-981-09-7519-7nbl16-rps-233
Savita et al (2016) Wind speed and power prediction of prominent wind power potential states in India using GRNN. In: Proceedings of IEEE ICPEICES-2016, pp 1–6. https://doi.org/10.1109/ICPEICES.2016.7853220
Savita et al (2016) Application of artificial neural network for long term wind speed prediction. In: Proceedings of IEEE CASP-2016, 9–11 June 2016, pp 217–222. https://doi.org/10.1109/CASP.2016.7746168
Yadav AK et al (2018) Short term wind speed forecasting for power generation in Hamirpur, Himachal Pradesh, India, using artificial neural networks. In: Applications of artificial intelligence techniques in engineering. Advances in intelligent systems and computing, vol 697, pp 263–271. https://doi.org/10.1007/978-981-13-1822-1_24
Vinoop P et al (2018) PSO-NN-based hybrid model for long-term wind speed prediction: a study on 67 cities of India. In: Applications of artificial intelligence techniques in engineering. Advances in intelligent systems and computing, vol 697, pp 319–327. https://doi.org/10.1007/978-981-13-1822-1_29
Singh M et al (2018) Comparative study of different neural networks for 1-year ahead load forecasting. In: Applications of artificial intelligence techniques in engineering. Advances in intelligent systems and computing, vol 697, pp 31–42. https://doi.org/10.1007/978-981-13-1822-1_4
Yadav V et al (2018) Forecasting of nitrogen dioxide at one day ahead using non-linear autoregressive neural network for environmental applications. In: Applications of artificial intelligence techniques in engineering. Advances in intelligent systems and computing, vol 698, pp 615–623. https://doi.org/10.1007/978-981-13-1819-1_58
Yadav AK et al (2018) 10-min ahead forecasting of wind speed for power generation using nonlinear autoregressive neural network. In: Applications of artificial intelligence techniques in engineering. Advances in intelligent systems and computing, vol 698, pp 235–244. https://doi.org/10.1007/978-981-13-1819-1_23
Garg S et al (2018) Long-term solar irradiance forecast using artificial neural network: application for performance prediction of Indian cities. In: Applications of artificial intelligence techniques in engineering. Advances in intelligent systems and computing, vol 697, pp 285–293. https://doi.org/10.1007/978-981-13-1822-1_26
Azeem A et al (2016) Application of Waikato environment for knowledge analysis based artificial neural network models for wind speed forecasting. In: Proceedings of IEEE PIICON-2016, 25–27 Nov 2016, pp 1–6. https://doi.org/10.1109/POWERI.2016.8077352
Saad S et al (2016) Selection of most relevant input parameters using WEKA for artificial neural network based concrete compressive strength prediction model. In: Proceedings of IEEE PIICON-2016, 25–27 Nov 2016, pp 1–6. https://doi.org/10.1109/POWERI.2016.8077368
Azeem A et al (2016) Artificial neural network based intelligent model for wind power assessment in India. In: Proceedings of IEEE PIICON-2016, 25–27 Nov 2016, pp 1–6. https://doi.org/10.1109/POWERI.2016.8077305
Yadav AK et al (2015) ANN based prediction of daily global solar radiation for photovoltaics applications. In: Proceedings of IEEE India annual conference (INDICON), pp 1–5. https://doi.org/10.1109/INDICON.2015.7443186
Chimmula VKR et al (2021) Deep learning and statistical based daily stock price forecasting and monitoring. In: AI and machine learning paradigms for health monitoring system: intelligent data analytics. Studies in big data. Springer Nature, pp 203–216. https://doi.org/10.1007/978-981-33-4412-9_13
Fatema N et al (2020) Metaheurestic algorithm based hybrid model for identification of building sale prices. In: Metaheuristic and evolutionary computation: algorithms and applications. Studies in computational intelligence. Springer Nature, pp 689–704. https://doi.org/10.1007/978-981-15-7571-6_32
Fatema N et al (2020) Data-driven occupancy detection hybrid model using particle swarm optimization based artificial neural network. In: Metaheuristic and evolutionary computation: algorithms and applications. Studies in computational intelligence. Springer Nature, pp 283–297. https://doi.org/10.1007/978-981-15-7571-6_13
Fatema N et al (2019) Data driven intelligent model for sales prices prediction and monitoring of a building. In: Soft computing in condition monitoring and diagnostics of electrical and mechanical systems. Springer Nature, pp 407–421. https://doi.org/10.1007/978-981-15-1532-3_18
Yadav A et al (2011) Application research based on artificial neural network (ANN) to predict no load loss for transformer design. In: Proceedings of IEEE international conference on communication system’s network technologies, pp 180–183. https://doi.org/10.1109/CSNT.2011.45
Mahto T et al (2012) Impact of usage duration on mobile phones EMI characteristics. In: Proceedings of IEEE international conference on communication system’s network technologies, India, May 2012, pp 558–562. https://doi.org/10.1109/CSNT.2012.126
Vigya et al (2021) Renewable generation based hybrid power system control using fractional order-fuzzy controller. Energy Rep 7C:641–653. https://doi.org/10.1016/j.egyr.2021.01.022
Jadoun VK et al (2021) Optimal scheduling of non-convex cogeneration units using exponentially varying whale optimization algorithm. Energies 14(4):1–30. https://doi.org/10.3390/en14041008
Mahto T et al (2021) Fractional order fuzzy based virtual inertia controller design for frequency stability in isolated hybrid power systems. Energies 14(6):1634. https://doi.org/10.3390/en14061634
Mahto T et al (2018) Load frequency control of a solar-diesel based isolated hybrid power system by fractional order control using particle swarm optimization. J Intell Fuzzy Syst 35(5):5055–5061. https://doi.org/10.3233/JIFS-169789
Nandan NK et al (2018) Solving nonconvex economic thermal power dispatch problem with multiple fuel system and valve point loading effect using fuzzy reinforcement learning. J Intell Fuzzy Syst 35(5):4921–4931. https://doi.org/10.3233/JIFS-169776
Devarapalli R et al (2022) An approach to solve OPF problems using a novel hybrid whale and sine cosine optimization algorithm. J Intell Fuzzy Syst 42(2):957–967. https://doi.org/10.3233/JIFS-189763
Rao BV et al (2022) Wind integrated power system to reduce emission: an application of bat algorithm. J Intell Fuzzy Syst 42(2):1041–1049. https://doi.org/10.3233/JIFS-189770
Bajaj M et al (2021) Optimal design of passive power filter using multi-objective pareto-based firefly algorithm and analysis under background and load-side’s nonlinearity. IEEE Access 9:22724–22744. https://doi.org/10.1109/ACCESS.2021.3055774
Gupta S et al (2021) A hybrid Jaya–Powell’s pattern search algorithm for multi-objective optimal power flow incorporating distributed generation. Energies 14(10):2831, 2–24. https://doi.org/10.3390/en14102831
Singh S et al (2021) Influence of wind power on modeling of bidding strategy in a promising power market with modified gravitational search algorithm. Appl Sci 11(10):4438, 2–16. https://doi.org/10.3390/app11104438
Singh S et al (2021) Strategic bidding in the presence of renewable sources for optimizing the profit of the power suppliers. IEEE Access 9:70221–70232. https://doi.org/10.1109/ACCESS.2021.3078288
Chankaya M et al (2021) Generalized normal distribution algorithm based control of 3-phase 4-wire grid-tied PV-hybrid energy storage system. Energies 14(14):4355, 1–22. https://doi.org/10.3390/en14144355
Singh S et al (2021) Impacts of renewable sources of energy on bid modeling strategy in an emerging electricity market using oppositional gravitational search algorithm. Energies 14(18):5726, 1–22. https://doi.org/10.3390/en14185726
Gupta S et al (2021) A robust optimization approach for optimal power flow solutions using Rao algorithms. Energies 14(17):5449, 1–28. https://doi.org/10.3390/en14175449
Chankaya M et al (2021) Multi-objective grasshopper optimization based MPPT and VSC control of grid-tied PV-battery system. Electronics 10(22):2770, 1–24. https://doi.org/10.3390/electronics10222770
Prakash P et al (2021) A novel hybrid approach for optimal placement of non-dispatchable distributed generations in radial distribution system. Mathematics 9(24):3171, 1–27. https://doi.org/10.3390/math9243171
Nagendra K et al (2021) Novel neural network-based load frequency control scheme: a case study of restructured power system. IEEE Access 9:162231–162242. https://doi.org/10.1109/ACCESS.2021.3133360
Shabbiruddin et al (2021) Fuzzy-based investigation of challenges for the deployment of renewable energy power generation. Energies 15(1):58, 1–16
Prakash P et al (2022) A novel analytical approach for optimal integration of renewable energy sources in distribution systems. Energies 15(4):1341, 1–23. https://doi.org/10.3390/en15041341
Chankaya M et al (2022) Stability analysis of chaotic grey-wolf optimized grid-tied PV-hybrid storage system during dynamic conditions. Electronics 11(4):567, 1–23. https://doi.org/10.3390/electronics11040567
Mohammad K et al (2022) Fuzzy-logic-based comparative analysis of different maximum power point tracking controllers for hybrid renewal energy systems. Mathematics 10(3):529, 1–28. https://doi.org/10.3390/math10030529
Kumar N et al (2022) Application of fractional order-PID control scheme in automatic generation control of a deregulated power system in the presence of SMES unit. Mathematics 10(3):521, 1–16. https://doi.org/10.3390/math10030521
Minai AF et al (2022) Performance analysis and comparative study of a 467.2 kWp grid-interactive SPV system: a case study. Energies 15(3):1107, 1–19. https://doi.org/10.3390/en15031107
Chimmula VKR et al (2019) Novel application of relief algorithm in cascade ANN model for prognosis of photovoltaic maximum power under sunny outdoor condition of Sikkim India: a case study. In: Soft computing in condition monitoring and diagnostics of electrical and mechanical systems. Springer Nature, pp 387–405. https://doi.org/10.1007/978-981-15-1532-3_17
Yadav AK et al (2020) ANN- and multiple linear regression-based modelling for experimental investigation of photovoltaic module maximum power production under outdoor condition of mountainous region. In: Modern maximum power point tracking techniques for photovoltaic energy systems. Springer Nature, pp 229–245. https://doi.org/10.1007/978-3-030-05578-3_8
Fatema N et al (2019) Big-data analytics based energy analysis and monitoring for multi-story hospital buildings: case study. In: Soft computing in condition monitoring and diagnostics of electrical and mechanical systems. Springer Nature, pp 325–343. https://doi.org/10.1007/978-981-15-1532-3_14
Yadav AK et al (2018) Techno economic feasibility analysis of different combination of PV-wind-diesel-battery hybrid system, chap 11. In: Hybrid-renewable energy systems in microgrids. Elsevier, pp 203–218. https://doi.org/10.1016/B978-0-08-102493-5.00011-X
Minai AF et al (2020) Metaheuristics paradigms for renewable energy systems: advances in optimization algorithms. In: Metaheuristic and evolutionary computation: algorithms and applications. Studies in computational intelligence. Springer Nature, pp 35–61. https://doi.org/10.1007/978-981-15-7571-6_2
Mahto T et al (2020) Traffic signal control to optimize run time for energy saving: a smart city paradigm. In: Metaheuristic and evolutionary computation: algorithms and applications. Studies in computational intelligence. Springer Nature, pp 491–497. https://doi.org/10.1007/978-981-15-7571-6_21
Rahi OP et al (2012) Power system voltage stability assessment through artificial neural network. Procedia Eng 30:53–60. https://doi.org/10.1016/j.proeng.2012.01.833. ISSN: 1877-7058
Mahto T et al (2018) Fractional order control and simulation of wind-biomass isolated hybrid power system using particle swarm optimization. In: Applications of artificial intelligence techniques in engineering. Advances in intelligent systems and computing, vol 698, pp 277–287. https://doi.org/10.1007/978-981-13-1819-1_28
Yadav AK et al (2016) Tilt angle calculation for installation of PV systems for mountainous regions of Himachal Pradesh India. In: Proceedings of IEEE ICEPES 2016, 14–16 Dec 2016, pp 205–209. https://doi.org/10.1109/ICEPES.2016.7915931
Yadav AK et al (2015) Optimization of tilt angle for installation of solar photovoltaic system for six sites in India. In: Proceedings of IEEE international conference on energy economics and environment (ICEEE-2015), pp 1–4. https://doi.org/10.1109/EnergyEconomics.2015.7235078
Fatima K et al (2022) Intelligent approach-based maximum power point tracking for renewable energy system: a review. In: Malik H, Ahmad MW, Kothari D (eds) Intelligent data analytics for power and energy systems. Lecture notes in electrical engineering, vol 802. Springer, Singapore, pp 373–405. https://doi.org/10.1007/978-981-16-6081-8_19
Kumar N et al (2022) Modeling and analysis of an intelligent approach for load frequency control in a deregulated power system: a case study based on different control schemes. In: Malik H, Ahmad MW, Kothari D (eds) Intelligent data analytics for power and energy systems. Lecture notes in electrical engineering, vol 802. Springer, Singapore, pp 61–83. https://doi.org/10.1007/978-981-16-6081-8_4
Yadav AK et al (2020) Optimization of tilt angle for intercepting maximum solar radiation for power generation. In: Optimization of power system problems (methods, algorithms and MATLAB codes). Springer Nature, pp 203–232. https://doi.org/10.1007/978-3-030-34050-6_9
Gopal C et al (2022) Digital transformation through advances in artificial intelligence and machine learning. J Intell Fuzzy Syst 42(2):615–622. https://doi.org/10.3233/JIFS-189787
Shahid A et al (2018) Decrypting wrist movement from MEG signal using SVM classifier. J Intell Fuzzy Syst 35(5):5123–5130. https://doi.org/10.3233/JIFS-169796
Fatema N et al (2022) Data driven intelligent model for quality management in healthcare. J Intell Fuzzy Syst 42(2):1155–1169. https://doi.org/10.3233/JIFS-189779
Sanaullah A et al (2022) Analyzing impact of relationship benefit and commitment on developing loyalty using machine intelligence approach. J Intell Fuzzy Syst 42(2):699–712. https://doi.org/10.3233/JIFS-189742
Smriti S et al (2018) Intelligent tools and techniques for signals, machines and automation. J Intell Fuzzy Syst 35(5):4895–4899. https://doi.org/10.3233/JIFS-169773
Zhou L et al (2021) An optimal higher order likelihood distribution based approach for strong edge and high contrast restoration. IEEE Access 9:109012–109024. https://doi.org/10.1109/ACCESS.2021.3101413
Kumar D et al (2021) 6D-chaotic system and 2D fractional discrete cosine transform based encryption of biometric templates. IEEE Access 9:103056–103074. https://doi.org/10.1109/ACCESS.2021.3097881
Asyraf A et al (2021) Machine learning approach for targeting and recommending a product for project management. Mathematics 9(16):1958, 1–26. https://doi.org/10.3390/math9161958
Arvind D et al (2021) Likelihood estimation and wavelet transformation based optimization for minimization of noisy pixels. IEEE Access 9:132168–132190. https://doi.org/10.1109/ACCESS.2021.3113857
Jain H, Fatema N (2018) Layer recurrent neural network based intelligent user activity classification model using smartphone. J Intell Fuzzy Syst (JIFS) 35(5):5085–5097. https://doi.org/10.3233/JIFS-169793
Nuzhat F (2018) Application of neuro-fuzzy scheme to improve purchasing process in a hospital. J Intell Fuzzy Syst (JIFS) 35(5):5131–5146. https://doi.org/10.3233/JIFS-169797
Anil KB et al (2011) Application research based on fuzzy logic to predict minimum loss for transformer design optimization. In: Proceedings of IEEE international conference on computational intelligence and communication networks, pp 207–211. https://doi.org/10.1109/CICN.2011.41
Yadav AK et al (2011) Cost analysis of transformer’s main material weight with artificial neural network (ANN). In: Proceedings of IEEE international conference on communication system’s network technologies, pp 184–187. https://doi.org/10.1109/CSNT.2011.46
Khatri A et al (2012) Optimal design of power transformer using genetic algorithm. In: Proceedings of IEEE international conference on communication system’s network technologies, pp 830–833. https://doi.org/10.1109/CSNT.2012.180
Goyal P et al (2019) Application of evolutionary reinforcement learning (ERL) approach in control domain: a review. In: Smart innovations in communication and computational sciences, vol 670, pp 273–288. https://doi.org/10.1007/978-981-10-8971-8_25
Roy N et al (2018) Extreme learning machine-based image classification model using handwritten digit database. In: Applications of artificial intelligence techniques in engineering. Advances in intelligent systems and computing, vol 697, pp 607–618. https://doi.org/10.1007/978-981-13-1822-1_57
Kukker A et al (2016) Forearm movements classification of EMG signals using Hilbert Huang transform and artificial neural network. In: Proceedings of IEEE PIICON-2016, 25–27 Nov 2016, pp 1–6. https://doi.org/10.1109/POWERI.2016.8077417
Fatema N (2019) Brain health assessment via classification of EEG signals for seizure and non-seizure conditions using extreme learning machine (ELM). In: Malik H, Srivastava S, Sood Y, Ahmad A (eds) Applications of artificial intelligence techniques in engineering. Advances in intelligent systems and computing, vol 697. Springer, Singapore. https://doi.org/10.1007/978-981-13-1822-1_10
Tomar A et al (2020) Machine learning, advances in computing, renewable energy and communication. In: LNEE, vol 768. Springer Nature, Berlin, 659 pp. https://doi.org/10.1007/978-981-16-2354-7. ISBN: 978-981-16-2354-7
Iqbal A et al (2020) Renewable power for sustainable growth. In: LNEE, vol 723. Springer Nature, Berlin, 805 pp. https://doi.org/10.1007/978-981-33-4080-0. ISBN: 978-981-33-4082-4
Ahmad MW et al (2022) Intelligent data-analytics for power and energy systems. In: LNEE, vol 802. Springer Nature, Berlin, 641 pp. https://doi.org/10.1007/978-981-16-6081-8. ISBN: 978-981-16-6081-8
Fatema N et al (2021) Intelligent data-analytics for condition monitoring: smart grid applications. Elsevier, 268 pp. https://www.sciencedirect.com/book/9780323855105/intelligent-data-analytics-for-condition-monitoring. ISBN: 978-0-323-85511-2
Iqbal A et al (2020) Soft computing in condition monitoring and diagnostics of electrical and mechanical systems. Springer Nature, Berlin, 496 pp. https://doi.org/10.1007/978-981-15-1532-3. ISBN: 978-981-15-1532-3
Iqbal A et al (2020) Meta heuristic and evolutionary computation: algorithms and applications. Springer Nature, Berlin, 949 pp. https://doi.org/10.1007/978-981-15-7571-6. ISBN: 978-981-15-7571-6
Jafar A et al (2021) AI and machine learning paradigms for health monitoring system: intelligent data analytics. In: SBD, vol 86. Springer Nature, Berlin, 513 pp. https://doi.org/10.1007/978-981-33-4412-9. ISBN: 978-981-33-4412-9
Srivastava S et al (2019) Applications of artificial intelligence techniques in engineering, SIGMA 2018, vol 1. In: AISC, vol 698. Springer Nature, 643 pp. https://doi.org/10.1007/978-981-13-1819-1. ISBN: 978-981-13-1818-4
Srivastava S et al (2019) Applications of artificial intelligence techniques in engineering, SIGMA 2018, vol 2. In: AISC, vol 697. Springer Nature, 647 pp. https://doi.org/10.1007/978-981-13-1822-1. ISBN: 978-981-13-1821-4
Tomar A et al (2022) Proceedings of 3rd international conference on machine learning, advances in computing, renewable energy and communication. In: LNEE, vol 915. Springer Nature, Berlin, 781 pp. https://doi.org/10.1007/978-981-19-2828-4. ISBN: 978-981-19-2828-4
Kumari D et al (2023) An efficient algorithm for energy management in smart grid for various improvements. In: Proceedings of 2nd international conference on renewable power (ICRP). LNEE. Springer Nature
Sumana S et al (2023) Investigations and validation of PV powered unified power quality conditioner for electric vehicle smart charger in standard AC/DC hybrid microgrid test system. In: Proceedings of 2nd international conference on renewable power (ICRP). LNEE. Springer Nature
Khetarpal P et al (2023) Short-term electricity load forecasting using modified hidden Markov model. In: Proceedings of 2nd international conference on renewable power (ICRP). LNEE. Springer Nature
Kumar S et al (2023) Microgrid systems with classical primary control techniques—a review. In: Proceedings of 2nd international conference on renewable power (ICRP). LNEE. Springer Nature
Javed S et al (2023) Green energy solutions for indoor air quality improvement. In: Proceedings of 2nd international conference on renewable power (ICRP). LNEE. Springer Nature
Ahmed SB et al (2023) Data resource library for renewable energy prediction/forecasting. In: Proceedings of 2nd international conference on renewable power (ICRP). LNEE. Springer Nature
Sarfraz et al (2023) Solar rooftop on-grid connected net metering system. In: Proceedings of 2nd international conference on renewable power (ICRP). LNEE. Springer Nature
Tompala J et al (2023) Contemporary maximum power point tracking methods of solar photovoltaic modules. In: Proceedings of 2nd international conference on renewable power (ICRP). LNEE. Springer Nature
Kumar A (2023) Performance analysis of perturb & observe and incremental conductance method of maximum power point tracking in solar PV based power generation. In: Proceedings of 2nd international conference on renewable power (ICRP). LNEE. Springer Nature
Roslan SAH et al (2023) The airfoil design for small-scale wind turbines in maximizing renewable wind energy. In: Proceedings of 2nd international conference on renewable power (ICRP). LNEE. Springer Nature
Pachauri RK et al (2023) Comparative study on solar PV module performance with sun irradiance trapping mechanism: power generation forecasting using machine learning. In: Proceedings of 2nd international conference on renewable power (ICRP). LNEE. Springer Nature
Roslan SAH et al (2023) The geometric modelling and linearization of small-scale wind turbine blades for optimized renewable energy. In: Proceedings of 2nd international conference on renewable power (ICRP). LNEE. Springer Nature
Radhiva M et al (2023) Performance analysis of H-type vertical axis wind turbine by using novelty numerical Simulink method. In: Proceedings of 2nd international conference on renewable power (ICRP). LNEE. Springer Nature
Anand R et al (2023) Energy production from various bio-waste under different electrode and temperature conditions: experimental study. In: Proceedings of 2nd international conference on renewable power (ICRP). LNEE. Springer Nature
Arief YZ et al (2023) Simulation and prototype design of hybrid renewable energy harvesting system. In: Proceedings of 2nd international conference on renewable power (ICRP). LNEE. Springer Nature
Kumar M et al (2023) Design and development of an inexpensive intelligent device for sag measurement for overhead transmission lines. In: Proceedings of 2nd international conference on renewable power (ICRP). LNEE. Springer Nature
Mangaraj M et al (2023) Gradient descent back propagation through momentum (GDBPM) endorsed i cos Ï• control technique based dSTATCOM intended for shunt indemnification. In: Proceedings of 2nd international conference on renewable power (ICRP). LNEE. Springer Nature
Deshmukh S et al (2023) Improvement in voltage stability of the system due to increased penetration of electric vehicles using distributed photovoltaic sources. In: Proceedings of 2nd international conference on renewable power (ICRP). LNEE. Springer Nature
Nezami MM et al (2023) An intelligent system for furfural estimation in the power transformers. In: Proceedings of 2nd international conference on renewable power (ICRP). LNEE. Springer Nature
Ansari MF et al (2023) Design of PID tuned controller for automatic voltage regulator for frequency stability in thermal power plant. In: Proceedings of 2nd international conference on renewable power (ICRP). LNEE. Springer Nature
Elwan AA et al (2023) Optimization of distributed generators in a virtual power plan using mixed integer linear programming method. In: Proceedings of 2nd international conference on renewable power (ICRP). LNEE. Springer Nature
Elwan AA et al (2023) Solving unit commitment problem using mixed integer linear programming for demand side management. In: Proceedings of 2nd international conference on renewable power (ICRP). LNEE. Springer Nature
Mustapha M et al (2023) Deployment of renewable embedded generation and unified power quality conditioner in distribution system using firefly algorithm. In: Proceedings of 2nd international conference on renewable power (ICRP). LNEE. Springer Nature
Juneja D et al (2023) Application of wind power in backwashing filter media. In: Proceedings of 2nd international conference on renewable power (ICRP). LNEE. Springer Nature
Aladin MYF et al (2023) Mixed reality accelerates the designing process in automotive industry. In: Proceedings of 2nd international conference on renewable power (ICRP). LNEE. Springer Nature
Imtiyaz R et al (2023) Design and implementation of solar charging electric vehicle. In: Proceedings of 2nd international conference on renewable power (ICRP). LNEE. Springer Nature
Subbaramaiah K et al (2023) Modelling and analysis of a permanent magnet DC motor fed electric vehicle drive system. In: Proceedings of 2nd international conference on renewable power (ICRP). LNEE. Springer Nature
Vishwanath Nagarajan VS et al (2023) An overview of electric and hybrid vehicle technology. In: Proceedings of 2nd international conference on renewable power (ICRP). LNEE. Springer Nature
Asati R et al (2023) Performance analysis of classical converter using different control strategies for switched reluctance motor with dynamic loading. In: Proceedings of 2nd international conference on renewable power (ICRP). LNEE. Springer Nature
Gupta V et al (2023) Design and development gear-electric bike and performance testing for Indian road conditions. In: Proceedings of 2nd international conference on renewable power (ICRP). LNEE. Springer Nature
Jain S et al (2023) Design and development of a solar-based wireless electric vehicle charging system. In: Proceedings of 2nd international conference on renewable power (ICRP). LNEE. Springer Nature
Ali K et al (2023) Design, optimization & performance enhancement of switched reluctance motor for pollution free electric vehicle application. In: Proceedings of 2nd international conference on renewable power (ICRP). LNEE. Springer Nature
Al-Hakim RR et al (2023) Using linear regression model to predict the wholesale of the electric car in Indonesia: what can be learned from the model? In: Proceedings of 2nd international conference on renewable power (ICRP). LNEE. Springer Nature
Adzmi MAI et al (2023) Comparison of thermoelectric generator with boost converter and single-ended primary-inductance converter. In: Proceedings of 2nd international conference on renewable power (ICRP). LNEE. Springer Nature
Arshad NM et al (2023) A hybrid maximum power point tracking (MPPT) for thermoelectric generator (TEG) system. In: Proceedings of 2nd international conference on renewable power (ICRP). LNEE. Springer Nature
Justin A et al (2023) Thermoelectric generator (TEG) by using indirect maximum power point (MPP) algorithm. In: Proceedings of 2nd international conference on renewable power (ICRP). LNEE. Springer Nature
Shukla U et al (2023) Comprehensive review on AC-DC, DC-DC, DC-AC-DC converters used for electric vehicles and charging stations. In: Proceedings of 2nd international conference on renewable power (ICRP). LNEE. Springer Nature
Kumar A (2023) Control and performance analysis for active islanding detection using q-axis control in renewable energy sources based microgrid: a review. In: Proceedings of 2nd international conference on renewable power (ICRP). LNEE. Springer Nature
Khan MR et al (2023) Harmonics analysis of triplen-phase induction motor drive. In: Proceedings of 2nd international conference on renewable power (ICRP). LNEE. Springer Nature
Mishra K et al (2023) Development of WiTricity based wireless power transmission system. In: Proceedings of 2nd international conference on renewable power (ICRP). LNEE. Springer Nature
Roomi MM et al (2023) Analysis of three-winding transformer configurations for energy storage less dynamic voltage restorer. In: Proceedings of 2nd international conference on renewable power (ICRP). LNEE. Springer Nature
Malik H et al (2023) Data reliability analysis for early fault diagnosis of air handling unit (AHU). In: Proceedings of 2nd international conference on renewable power (ICRP). LNEE. Springer Nature
Thakur A et al (2023) Use of solar energy in treatment of pulp and paper industry effluent with hemp—an experimental study. In: Proceedings of 2nd international conference on renewable power (ICRP). LNEE. Springer Nature
Pushparaj et al (2023) Design of radar-based portable system for monitoring of human vital signs with renewable energy resources. In: Proceedings of 2nd international conference on renewable power (ICRP). LNEE. Springer Nature
Sharma M et al (2023) Controlling methods of brushless DC motor in electrical vehicle drives. In: Proceedings of 2nd international conference on renewable power (ICRP). LNEE. Springer Nature
Kuttey VK et al (2023) Effect of number of poles on IPMSM performance for electric vehicle drivetrain. In: Proceedings of 2nd international conference on renewable power (ICRP). LNEE. Springer Nature
Ray P et al (2023) Offline power quality management and control using neural networks. In: Proceedings of 2nd international conference on renewable power (ICRP). LNEE. Springer Nature
Kassarwani N et al (2023) Optimized integral sliding mode load frequency control of an isolated power system. In: Proceedings of 2nd international conference on renewable power (ICRP). LNEE. Springer Nature
Jahid et al (2023) Implementation of supercapacitor-battery based energy storage system in hybrid power system incorporating renewable energy resources. In: Proceedings of 2nd international conference on renewable power (ICRP). LNEE. Springer Nature
Elwan AA et al (2023) Hybrid waste to energy electricity generation and battery storage system: the economics and environmental emission in a low-income community. In: Proceedings of 2nd international conference on renewable power (ICRP). LNEE. Springer Nature
Kumar R et al (2023) Application of solar power in the loopholes and coverages of buses in the bus rapid transit system in Bhopal. In: Proceedings of 2nd international conference on renewable power (ICRP). LNEE. Springer Nature
Sharma S et al (2023) Forecasting of carbon emissions in India using (ARIMA) time series predicting approach. In: Proceedings of 2nd international conference on renewable power (ICRP). LNEE. Springer Nature
Sharma A et al (2023) Peak shaving through battery storage for photovoltaic integrated building considering the time of day pricing. In: Proceedings of 2nd international conference on renewable power (ICRP). LNEE. Springer Nature
Yadav N et al (2023) Economic analysis of renewable energy systems for rural electrification. In: Proceedings of 2nd international conference on renewable power (ICRP). LNEE. Springer Nature
Rani P et al (2023) Improved voltage regulation in hybrid photovoltaic/wind using modified dynamic voltage restorer with hybrid control scheme. In: Proceedings of 2nd international conference on renewable power (ICRP). LNEE. Springer Nature
Mehtre VV et al (2023) Contingency analysis for a solar energy generation system using real time data analysis. In: Proceedings of 2nd international conference on renewable power (ICRP). LNEE. Springer Nature
Ismail AW et al (2023) Digital twin in extended reality applications for industry 4.0. In: Proceedings of 2nd international conference on renewable power (ICRP). LNEE. Springer Nature
Ahmad N et al (2023) Deep image coding in the fractional wavelet transform domain based on high frequency sub-bands prediction. In: Proceedings of 2nd international conference on renewable power (ICRP). LNEE. Springer Nature
Joshi BP et al (2023) QIVIFS: quaternion approach of interval-valued-intuitionistic-fuzzy-sets with applications in renewable energy system. In: Proceedings of 2nd international conference on renewable power (ICRP). LNEE. Springer Nature
Verma SK et al (2023) Feminine protection wearable system based on IoT. In: Proceedings of 2nd international conference on renewable power (ICRP). LNEE. Springer Nature
Pachauri RK et al (2023) Marine predictors algorithm optimization technique to estimate GMPP of PV array under partial shadowing conditions. In: Proceedings of 2nd international conference on renewable power (ICRP). LNEE. Springer Nature
Iqbal M et al (2023) Artificial intelligence-based bearing fault diagnosis of rotating machine to improve the safety of power system. In: Proceedings of 2nd international conference on renewable power (ICRP). LNEE. Springer Nature
Arora A et al (2023) Stability enhancement of AC microgrid using discrete mode controllers with optimum sampling frequency. In: Proceedings of 2nd international conference on renewable power (ICRP). LNEE. Springer Nature
Rani P et al (2023) Performance analysis of grid integrated solar system through interlinking converter with control schemes. In: Proceedings of 2nd international conference on renewable power (ICRP). LNEE. Springer Nature
Midha A et al (2023) Towards achieving net zero emissions in India by 2070. In: Proceedings of 2nd international conference on renewable power (ICRP). LNEE. Springer Nature
Sai Kiran P et al (2023) IoT-based monitoring and controlling of substation parameters. In: Proceedings of 2nd international conference on renewable power (ICRP). LNEE. Springer Nature
Dini HS et al (2023) Effectiveness of resilience index in assessing power system performance. In: Proceedings of 2nd international conference on renewable power (ICRP). LNEE. Springer Nature
Acknowledgements
We would like to express our sincere gratitude to Haryana Renewable Energy Development Agency (HAREDA) to provide financial support to make ICRP-2023 successful. The editors extend their appreciation to the Intelligent Prognostic Private Limited, India, to provide all types of technical and non-technical facilities, cooperation, and support in each stage to make this book in real.
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Malik, H., Mishra, S., Sood, Y.R., Iqbal, A., Ustun, T.S. (2024). Editorial: Renewable Power for Sustainable Growth. In: Malik, H., Mishra, S., Sood, Y.R., Iqbal, A., Ustun, T.S. (eds) Renewable Power for Sustainable Growth. ICRP 2023. Lecture Notes in Electrical Engineering, vol 1086. Springer, Singapore. https://doi.org/10.1007/978-981-99-6749-0_1
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