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Titlebook: AI and IOT in Renewable Energy; Rabindra Nath Shaw,Nishad Mendis,Ankush Ghosh Book 2021 The Editor(s) (if applicable) and The Author(s), u

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發(fā)表于 2025-3-21 19:41:19 | 只看該作者 |倒序瀏覽 |閱讀模式
期刊全稱AI and IOT in Renewable Energy
影響因子2023Rabindra Nath Shaw,Nishad Mendis,Ankush Ghosh
視頻videohttp://file.papertrans.cn/143/142807/142807.mp4
發(fā)行地址Discusses various applications of AI and IOT in the sustainable energy systems.Includes unpublished works from researchers working in the field.Serves as a reference for industry people to get an idea
學(xué)科分類Studies in Infrastructure and Control
圖書封面Titlebook: AI and IOT in Renewable Energy;  Rabindra Nath Shaw,Nishad Mendis,Ankush Ghosh Book 2021 The Editor(s) (if applicable) and The Author(s), u
影響因子.This book presents the latest research on applications of artificial intelligence and the Internet of Things in renewable energy systems. Advanced renewable energy systems must necessarily involve the latest technology like artificial intelligence and Internet of Things to develop low cost, smart and efficient solutions. Intelligence allows the system to optimize the power, thereby making it a power efficient system; whereas, Internet of Things makes the system independent of wire and flexibility in operation. As a result, intelligent and IOT paradigms are finding increasing applications in the study of renewable energy systems. This book presents advanced applications of artificial intelligence and the internet of things in renewable energy systems development. It covers such topics as solar energy systems, electric vehicles etc. In all these areas applications of artificial intelligence methods such as artificial neural networks, genetic algorithms, fuzzy logic and a combination of the above, called hybrid systems, are included. The book is intended for a wide audience ranging from the undergraduate level up to the research academic and industrial communities engaged in the stud
Pindex Book 2021
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Book 2021newable energy systems must necessarily involve the latest technology like artificial intelligence and Internet of Things to develop low cost, smart and efficient solutions. Intelligence allows the system to optimize the power, thereby making it a power efficient system; whereas, Internet of Things
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Regression: Choosing and Managing Modelsting. It is found that deep learning technique has better forecasting accuracy than other developed techniques in terms of lower (RMSE, MSE) and higher (R, R.), for day head forecasting of PV power output.
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Applied Machine Learning for Assisted Livingor networks are included in this research work for a real-time condition monitoring. Therefore, the authors of this paper have developed a prototype which can provide smart maintenance to elongate the life of wind turbine and prevent the harm of nearby equipments.
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Front Mattereworks and models, current debates, research and case studie.This textbook addresses key issues and challenges in contemporary multicultural and multilingual workplaces through the lens of leadership, communication and trust. It draws?together?contributions from fields including cultural studies, ps
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