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ISSN 2063-5346
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Applications of AI and IoT in Renewable Energy

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Dr. Swati Shirke, Rahul Sonkamble ,Gurunath Waghale ,Suresh Kapare,Vanita Sonkamble
» doi: 10.48047/ecb/2023.12.si4.1295

Abstract

Huge energy utilization is going on the planet as electrical energy and as mechanical energy. Electrical energy is utilized all over the place and it has a significant offer in the advancement of the world. Solar and wind are the primary energy sources and that additionally relies upon climate conditions. Energy stockpiling innovation is very encouraging and it must be tried altogether. The interest for renewable energy will increment later on so there is a need to put resources into IoT and AI innovation. To beat the electrical energy lack, the option is renewable energy. Renewable energy sources gathered by utilizing the sensor. Internet-of-Things (IoT) and Artificial Intelligence (AI) are the innovations that are useful for age of the electrical energy for home devices and mechanical regions. IoT and AI have different applications in Renewable Energy age. IoT utilizes different kinds of sensors like piezoelectric sensors that convert human body warmth to the electric converter, Solar boards are utilized to produce electrical energy, and solar boards are associated with the power storage circuits. IoT is utilized for automation to improve production by automating the control, grid management, observing an enormous no of points in distributed systems, and producing green energy for residents. Computer based intelligence is utilized in the electrical grid, the electrical grid is a complex machine, and AI innovation can improve the dependability of renewable energy and modernize the general grid. Computer based intelligence can be utilized in smart brought together control habitats, to improve microgrids coordination, to improve security and dependability, to grow the market, and astute stockpiling in smart grids. In this paper, we are researching the different utilizations of IoT and AI in renewable systems.

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