Role of Artificial Intelligence in Renewable Energy and its Scope in Future

A. Ashfaq, Muhammad Kamran, Faisal Rehman, Nadeem Sarfaraz, Hafiz Usman Ilyas, Hafiz Hassan Riaz
{"title":"Role of Artificial Intelligence in Renewable Energy and its Scope in Future","authors":"A. Ashfaq, Muhammad Kamran, Faisal Rehman, Nadeem Sarfaraz, Hafiz Usman Ilyas, Hafiz Hassan Riaz","doi":"10.1109/ICECE54634.2022.9758957","DOIUrl":null,"url":null,"abstract":"The use of air and the sunlight considering significant sources of the renewable energy have the study focus and development in past years. The presence of air, sunlight and the other commodities in Earth used wisely for human welfare while also maintaining the living beings and the environment. The development of revolutionary technology for best output from natural resources is the backbone of current and future efforts in RE and increased environmental awareness to improve management and distribution systems. Artificial Intelligence (AI) could help the RE to achieve its future goals, just as it has in other fields (food, health, lodging, safety, and so on). Biologically inspired AI approaches have been used in a number of projects to meet the RE’s common and future goals. Despite the fact that many researches has been performed for scaling and for optimize renewable energy systems. Literature study provides a comprehensive review of the best plans of Artificial Intelligence, highlighting the importance of penetrating literature. Artificial Intelligence utilizes the features of renewable energy in order to improve the systems economic functioning. This study shows a complete review as well as modern research findings in the fields of wind, solar, geothermal, bioenergy, ocean, hybrid energy, hydro, and hydrogen energy. The role of hybrid and single artificial intelligence techniques for the study and the development for RE sources mentioned above will thoroughly be analyzed.","PeriodicalId":414111,"journal":{"name":"2022 5th International Conference on Energy Conservation and Efficiency (ICECE)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 5th International Conference on Energy Conservation and Efficiency (ICECE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICECE54634.2022.9758957","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6

Abstract

The use of air and the sunlight considering significant sources of the renewable energy have the study focus and development in past years. The presence of air, sunlight and the other commodities in Earth used wisely for human welfare while also maintaining the living beings and the environment. The development of revolutionary technology for best output from natural resources is the backbone of current and future efforts in RE and increased environmental awareness to improve management and distribution systems. Artificial Intelligence (AI) could help the RE to achieve its future goals, just as it has in other fields (food, health, lodging, safety, and so on). Biologically inspired AI approaches have been used in a number of projects to meet the RE’s common and future goals. Despite the fact that many researches has been performed for scaling and for optimize renewable energy systems. Literature study provides a comprehensive review of the best plans of Artificial Intelligence, highlighting the importance of penetrating literature. Artificial Intelligence utilizes the features of renewable energy in order to improve the systems economic functioning. This study shows a complete review as well as modern research findings in the fields of wind, solar, geothermal, bioenergy, ocean, hybrid energy, hydro, and hydrogen energy. The role of hybrid and single artificial intelligence techniques for the study and the development for RE sources mentioned above will thoroughly be analyzed.
人工智能在可再生能源中的作用及其未来应用范围
作为可再生能源的重要来源,空气和阳光的利用是近年来研究和发展的重点。地球上存在的空气,阳光和其他商品明智地用于人类福利,同时也维护生物和环境。发展革命性技术,使自然资源获得最佳产出,是当前和今后可再生能源工作的支柱,也是提高环境意识以改善管理和分配系统的支柱。人工智能(AI)可以帮助RE实现其未来目标,就像它在其他领域(食品、健康、住宿、安全等)所做的那样。受生物学启发的人工智能方法已在许多项目中使用,以满足可再生能源的共同和未来目标。尽管事实上,许多研究已经进行了规模和优化可再生能源系统。文献研究提供了对人工智能最佳方案的全面回顾,突出了穿透文献的重要性。人工智能利用可再生能源的特点,以提高系统的经济功能。本研究对风能、太阳能、地热能、生物能、海洋能、混合能、水能、氢能等领域的现代研究成果进行了全面的综述。本文将深入分析混合和单一人工智能技术在上述资源研究和开发中的作用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信