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Titlebook: Proceedings of the 4th International Symposium on New Energy and Electrical Technology; Fushuan Wen,Ishak Bin Aris Conference proceedings

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發(fā)表于 2025-3-21 17:48:32 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Proceedings of the 4th International Symposium on New Energy and Electrical Technology
編輯Fushuan Wen,Ishak Bin Aris
視頻videohttp://file.papertrans.cn/765/764537/764537.mp4
概述Exclusive focuses on new & renewable energy tech for fuel cells, EVs, trains & aircraft.Presents cutting-edge insights on device, component & system-level design.Global collaboration with researchers
叢書名稱Lecture Notes in Electrical Engineering
圖書封面Titlebook: Proceedings of the 4th International Symposium on New Energy and Electrical Technology;  Fushuan Wen,Ishak Bin Aris Conference proceedings
描述.The book bring together leading experts in the field of energy science and technology to share cutting-edge research and advancements in areas such as renewable energy sources, smart grid technology, and power management solutions. Through these contributions, readers will gain valuable insights into the future of energy technology and be inspired to further their own research in pursuit of sustainable energy solutions. This book serves as a valuable resource for scholars, engineers, and professionals looking to stay informed on the latest developments in the field..
出版日期Conference proceedings 2024
關(guān)鍵詞Electrical Systems; Energy Science; Storage Technology; Power Electronics; Power System Analysis
版次1
doihttps://doi.org/10.1007/978-981-97-7047-2
isbn_softcover978-981-97-7049-6
isbn_ebook978-981-97-7047-2Series ISSN 1876-1100 Series E-ISSN 1876-1119
issn_series 1876-1100
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor
The information of publication is updating

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發(fā)表于 2025-3-21 21:32:08 | 只看該作者
Conference proceedings 2024s renewable energy sources, smart grid technology, and power management solutions. Through these contributions, readers will gain valuable insights into the future of energy technology and be inspired to further their own research in pursuit of sustainable energy solutions. This book serves as a val
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1876-1100 t of sustainable energy solutions. This book serves as a valuable resource for scholars, engineers, and professionals looking to stay informed on the latest developments in the field..978-981-97-7049-6978-981-97-7047-2Series ISSN 1876-1100 Series E-ISSN 1876-1119
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Research on Photovoltaic Power Prediction Based on Multi-model Fusionction results of each model component. A photovoltaic power plant’s measured power generation for the whole year of 2018 is utilized to validate the prediction model, and the results show that the proposed multi-model fusion network with quadratic mode decomposition has a high accuracy for power generation prediction.
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