Please use this identifier to cite or link to this item: http://localhost:8080/xmlui/handle/123456789/8163
Title: Artificial Intelligence Techniques Applied on Renewable Energy Systems: A Review
Other Titles: Renewable energy resources (RE) offer immense potential and can satisfy today’s global energy needs. It could increase energy production industry variety, provide long-term sustainable supply, and lower local and global emissions. It can indeed give financially appealing choices for meeting specific power service requirements
Authors: Ali Azawii Abdul Lateef, , Sameer I. Ali Al-Janabi, and Omar Azzawi Abdulteef
Keywords: Artificial intelligence · Renewable energy · Solar energy.
Issue Date: 9-Jul-2022
Publisher: DOI:10.1007/978-981-19-0604-6_25 In book: Proceedings of International Conference on Computing and Communication Networks (pp.297-308
Citation: NOTHING
Series/Report no.: Series;Series paper
Abstract: Renewable energy is gaining traction as an efficient alternative source of energy; it is considerably safer and healthier than traditional energy, and it has greatly contributed to this area. However, there are still several areas that need improvement in order to meet this rapidly expanding technology. AI technology can evaluate the previous, improve the current, and predict what will happen. As a result, AI will fix the majority of these issues. AI is complicated, but it lowers error and aspires for better precision, making energies more intelligent. This paper presents an overview of commonly utilized artificial intelligence (AI) techniques in sustainable sources of energy applications. AI is applied in practically every form of energy for design, optimization, prediction, administration, transmission, and regulation (wind, solar, geothermal, hydro, ocean, bio, hydrogen, and hybrid). Throughout this aspect, the purpose of this study is to highlight the AI techniques utilized in the field of renewable energy.
Description: This is a preview of subscription content, access via your institution.
URI: http://localhost:8080/xmlui/handle/123456789/8163
ISSN: Online ISBN 978-981-19-0604-6 eBook Packages Engineering Engineering (R0)
Appears in Collections:قسم التفسير وعلوم القرأن

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