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Title	Artificial Intelligence And Technology In Weather Forecasting And Renewable Energy Systems: Emerging Techniques And Worldwide Studies
ID_Doc	10430
Authors	Dutt V.; Sharma S.
Year	2022
Published	Artificial Intelligence for Renewable Energy systems
DOI	http://dx.doi.org/10.1016/B978-0-323-90396-7.00009-2
Abstract	The integrated renewable energy system is a critical component of the smart city. Integrating renewable energy sources is beneficial in addressing energy supply and demand challenges. Several methods are used to anticipate renewable energy dynamics, including assessing the current situation or projecting the future with an emphasis on a definite objective of concern. The existing degree of predictive model training includes a target country's or region's current state and projections, as well as policies and programs for future penetration. However, with the present exponential rise in renewable energy and artificial intelligence research, as well as the removal of certain existing limits, this influence may expand to include other targets in the future. Nonetheless, previous studies have omitted important features. For future research to cover more objectives, the exponential increase in the renewable energy share and rapid progress of artificial intelligence must be accompanied by necessary supervisory knowledge and technical control. © 2022 Elsevier Ltd. All rights reserved.
Author Keywords	AI weather forecasting; Artificial intelligence; Artificial neural network; Convolutional neural network; Future predictions; Renewable energy system

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