Abstract
Energy is one of the most important issue on the world today. Analizing, optimizations and proofing of feasibility of the renewable energy solutions, as a represent of sinergy within the real environment, is one of the bigest challanges for the scientists and engineers. Research of the hydro energy systems encompase the maximum of different interests with the requirement of multicriteria harmonization of the conditions, limitations and tasks. Artificial inteligency offers the possibilities for fuzzy expert system development with the goal of incorporating all the conflicting purposes by the new mathematic, in the function of multidimensional decission making. This manuscript present the extract from the comprehensive research conducted on the subject of water potential development as fuzy expert hydro energy system. Phormulas and theoterical postulats are tested and prooven on the holistic smart practice of hydro energy sistems in Bosnia and Herzegovina.
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References
Politou, E., Alepis, E., Virvou, M., Patsakis, C.: “The “Right to Be Forgotten” in the GDPR: implementation challenges and potential solutions. In: Politou, E., Alepis, E., Virvou, M., Patsakis, C. (eds.) Privacy and Data Protection Challenges in the Distributed Era. Learning and Analytics in Intelligent Systems, vol. 26, pp. 41–68. Springer, Cham (2022). https://doi.org/10.1007/978-3-030-85443-0_4
Dissanayake, N., Jayatilaka, A., Zahedi, M., Babar, M.A.: Software security patch management-a systematic literature review of challenges, approaches, tools and practices. Inf. Softw. Technol. 144, 106771 (2022)
Baraldi, P., Podofillini, L., Mkrtchyan, L., Zio, E., Dang, V.N.: Comparing the treatment of uncertainty in Bayesian networks and fuzzy expert systems used for a human reliability analysis application. Reliab. Eng. Syst. Saf. 138, 176–193 (2015)
Chen, S., Liang, Y.-C., Sun, S., Kang, S., Cheng, W., Peng, M.: Vision, requirements, and technology trend of 6G: how to tackle the challenges of system coverage, capacity, user data-rate and movement speed. IEEE Wirel. Commun. 27(2), 218–228 (2020)
Stevovic, I., Mirjanic, D., Petrovic, N.: Integration of solar energy by nature-inspired optimization in the context of circular economy. Energy 235, 121297 (2021)
Stevović, I., Mirjanić, D., Stevović, S.: Possibilities for wider investment in solar energy implementation. Energy 180, 495–510 (2019)
Stevovic, S., Milovanovic, Z., Stamatovic, M.: Sustainable model of hydro power development—Drina river case study. Renew. Sustain. Energy Rev. 50, 363–371 (2015)
Stevovic, S., Miloradovic, M., Stevovic, I.: Management of environmental quality and Kostolac mine areas natural resources usage. Manag. Environ. Qual. Int. J. (2014)
Stevovic, I., Jovanovic, J., Stevovic, S.: Sustainable management of Danube renewable resources in the region of Iron Gate: Djerdap 1, 2 and 3 case study. Manag. Environ. Qual. Int. J. (2017)
Wang, Z.-C., Ran, Y., Chen, Y., Yang, X., Zhang, G.: Group risk assessment in failure mode and effects analysis using a hybrid probabilistic hesitant fuzzy linguistic MCDM method. Expert Syst. Appl. 188, 116013 (2022)
Rathgeb, C., Merkle, J., Scholz, J., Tams, B., Nesterowicz, V.: Deep face fuzzy vault: implementation and performance. Comput. Secur. 113, 102539 (2022)
Stevovic, S.M., Milošević, H., Stevović, I., Hadrović, S.: Sustainable water resources management of Prokletije region. Industrija 42(1) (2014)
Wang, P., Li, X., Wang, N., Li, Y., Shi, K., Lu, J.: Almost periodic synchronization of quaternion-valued fuzzy cellular neural networks with leakage delays. Fuzzy Sets Syst. 426, 46–65 (2022)
Xie, D., Xiao, F., Pedrycz, W.: Information quality for intuitionistic fuzzy values with its application in decision making. Eng. Appl. Artif. Intell. 109, 104568 (2022)
Zhou, Q., et al.: Transferable representation modelling for real-time energy management of the plug-in hybrid vehicle based on k-fold fuzzy learning and Gaussian process regression. Appl. Energy 305, 117853 (2022)
Feng, F., Zheng, Y., Sun, B., Akram, M.: Novel score functions of generalized orthopair fuzzy membership grades with application to multiple attribute decision making. Granular Comput. 7(1), 95–111 (2021). https://doi.org/10.1007/s41066-021-00253-7
van Krieken, E., Acar, E., van Harmelen, F.: Analyzing differentiable fuzzy logic operators. Artif. Intell. 302, 103602 (2022)
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Stevovic, S., Mirjanic, D., Hadrovic, S., Golubovic, D. (2022). Artificial Inteligency Support to Complex Hydro Energy Systems. In: Karabegović, I., Kovačević, A., Mandžuka, S. (eds) New Technologies, Development and Application V. NT 2022. Lecture Notes in Networks and Systems, vol 472. Springer, Cham. https://doi.org/10.1007/978-3-031-05230-9_89
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DOI: https://doi.org/10.1007/978-3-031-05230-9_89
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