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Internet of Things Platform for Advantageous Renewable Energy Generation

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Proceedings of International Conference on Advanced Computing Applications

Abstract

This work describes the details about various types of Internet of things and their eco-system that is utilizing for increasing the efficiency of the energy system, mainly focusing on renewable energy technology. RE system is highly dependent on surrounding environmental parameters. In the field of IoT, signal processing, analog to digital conversion is crucial. Here, making better approximation gives better results that are important for increasing the efficiency of any kind of system. It is important to get better resolution from IoT devices to give optimum performance in the energy production industry. Close interaction between PV technology and other renewable sources, like wind, solar thermal with IoT devices is the key to overcome all the drawbacks of uncertainty in renewable power generation and improve communication and monitoring. Getting support from the best IoT with sensors, the renewable energy sources give the best output, mainly the solar panel gives the best-expected output. IoT has different types of significant characteristics, and it is important to choose a particular device depending on the specific application. These significant behaviors are described in this work to identify the better components to make the best solution for the targeted system.

Supported by organization ICT, University of Evora.

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Acknowledgements

The authors acknowledges ICT, University of Evora and FCT for the grant 2020.06312.BD for enabling the work.

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Correspondence to Masud Rana Rashel .

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Rashel, M.R., Islam, M., Sultana, S., Ahmed, M.T., Akhund, T.M.N.U., Sikta, J.N. (2022). Internet of Things Platform for Advantageous Renewable Energy Generation. In: Mandal, J.K., Buyya, R., De, D. (eds) Proceedings of International Conference on Advanced Computing Applications. Advances in Intelligent Systems and Computing, vol 1406. Springer, Singapore. https://doi.org/10.1007/978-981-16-5207-3_10

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