Artificial Intelligence for Renewable Energy Systems
暫譯: 可再生能源系統的人工智慧
Vyas, Ajay Kumar, Balamurugan, S., Hiran, Kamal Kant
- 出版商: Wiley-Scrivener
- 出版日期: 2022-03-02
- 售價: $7,040
- 貴賓價: 9.8 折 $6,899
- 語言: 英文
- 頁數: 272
- 裝訂: Hardcover - also called cloth, retail trade, or trade
- ISBN: 1119761697
- ISBN-13: 9781119761693
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相關分類:
Machine Learning
無法訂購
商品描述
Renewable energy systems, including solar, wind, biodiesel, hybrid energy, and other relevant types, have numerous advantages compared to their conventional counterparts. This book presents the application of machine learning and deep learning techniques for renewable energy system modeling, forecasting, and optimization for efficient system design.
Due to the importance of renewable energy in today's world, this book was designed to enhance the reader's knowledge based on current developments in the field. For instance, the extraction and selection of machine learning algorithms for renewable energy systems, forecasting of wind and solar radiation are featured in the book. Also highlighted are intelligent data, renewable energy informatics systems based on supervisory control and data acquisition (SCADA); and intelligent condition monitoring of solar and wind energy systems. Moreover, an AI-based system for real-time decision-making for renewable energy systems is presented; and also demonstrated is the prediction of energy consumption in green buildings using machine learning. The chapter authors also provide both experimental and real datasets with great potential in the renewable energy sector, which apply machine learning (ML) and deep learning (DL) algorithms that will be helpful for economic and environmental forecasting of the renewable energy business.
Audience
The primary target audience includes research scholars, industry engineers, and graduate students working in renewable energy, electrical engineering, machine learning, information & communication technology.
商品描述(中文翻譯)
可再生能源系統中的人工智慧
可再生能源系統，包括太陽能、風能、生物柴油、混合能源及其他相關類型，相較於傳統能源系統具有許多優勢。本書介紹了機器學習和深度學習技術在可再生能源系統建模、預測和優化中的應用，以實現高效的系統設計。
鑒於可再生能源在當今世界的重要性，本書旨在根據該領域的最新發展增強讀者的知識。例如，本書中介紹了可再生能源系統的機器學習算法的提取和選擇、風能和太陽輻射的預測。此外，還強調了基於監控控制和數據採集（SCADA）的智能數據和可再生能源信息系統；以及太陽能和風能系統的智能狀態監測。此外，還介紹了一個基於人工智慧的系統，用於可再生能源系統的即時決策；並展示了使用機器學習預測綠色建築中的能源消耗。章節作者還提供了在可再生能源領域具有巨大潛力的實驗和真實數據集，這些數據集應用機器學習（ML）和深度學習（DL）算法，將有助於可再生能源業務的經濟和環境預測。
讀者對象
主要目標讀者包括從事可再生能源、電機工程、機器學習、信息與通信技術的研究學者、行業工程師和研究生。
作者簡介
Ajay Kumar Vyas, PhD is an assistant professor at Adani Institute of Infrastructure Engineering, Ahmedabad, India. He has authored several research papers in peer-reviewed international journals and conferences, three books, and two Indian patents.
S. Balamurugan, PhD SMIEEE, ACM Distinguished Speaker, received his PhD from Anna University, India. He has published 57 books, 300+ international journals/conferences, and 100 patents. He is the Director of the Albert Einstein Engineering and Research Labs. He is also the Vice-Chairman of the Renewable Energy Society of India (RESI). He is serving as a research consultant to many companies, startups, SMEs, and MSMEs. He has received numerous awards for research at national and international levels.
Kamal Kant Hiran, PhD is an assistant professor at the School of Engineering, Sir Padampat Singhania University (SPSU), Udaipur, Rajasthan, India, as well as a research fellow at the Aalborg University, Copenhagen, Denmark. He has published more than 35 scientific research papers in SCI/Scopus/Web of Science and IEEE Transactions Journal, conferences, two Indian patents, one Australian patent granted, and nine books.
Harsh S. Dhiman, PhD is an assistant professor in the Department of Electrical Engineering at Adani Institute of Infrastructure Engineering, Ahmedabad, India. He has published 12 SCI-indexed journal articles and two books, and his research interests include hybrid operation of wind farms, hybrid wind forecasting techniques, and anomaly detection in wind turbines.
作者簡介(中文翻譯)
Ajay Kumar Vyas, PhD 是印度艾哈邁達巴德的阿達尼基礎設施工程學院的助理教授。他在同行評審的國際期刊和會議上發表了多篇研究論文，並著作了三本書和兩項印度專利。
S. Balamurugan, PhD SMIEEE，ACM 傑出演講者，於印度安娜大學獲得博士學位。他已出版57本書籍，發表300多篇國際期刊/會議論文，並擁有100項專利。他是阿爾伯特·愛因斯坦工程與研究實驗室的主任，也是印度可再生能源協會（RESI）的副主席。他擔任多家企業、初創公司、中小企業及微型企業的研究顧問，並因其研究在國內外獲得多項獎項。
Kamal Kant Hiran, PhD 是印度拉賈斯坦邦烏代布爾的西爾·帕丹帕特·辛哈尼亞大學（SPSU）工程學院的助理教授，同時也是丹麥哥本哈根的奧爾堡大學的研究員。他在SCI/Scopus/Web of Science和IEEE Transactions期刊上發表了超過35篇科學研究論文，擁有兩項印度專利、一項澳大利亞專利，以及九本書籍。
Harsh S. Dhiman, PhD 是印度艾哈邁達巴德的阿達尼基礎設施工程學院電機工程系的助理教授。他發表了12篇SCI索引的期刊文章和兩本書籍，研究興趣包括風電場的混合運作、混合風力預測技術以及風力發電機的異常檢測。
