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Application of Machine Learning and Deep Learning Methods to Power System Problems (Power Systems) - Softcover

 
9783030776985: Application of Machine Learning and Deep Learning Methods to Power System Problems (Power Systems)

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Published by Springer, 2022
ISBN 10: 3030776980 ISBN 13: 9783030776985
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Morteza Nazari-Heris
ISBN 10: 3030776980 ISBN 13: 9783030776985
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book evaluates the role of innovative machine learning and deep learning methods in dealing with power system issues, concentrating on recent developments and advances that improve planning, operation, and control of power systems. Cutting-edge case studies from around the world consider prediction, classification, clustering, and fault/event detection in power systems, providing effective and promising solutions for many novel challenges faced by power system operators. Written by leading experts, the book will be an ideal resource for researchers and engineers working in the electrical power engineering and power system planning communities, as well as students in advanced graduate-level courses. 404 pp. Englisch. Seller Inventory # 9783030776985

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ISBN 10: 3030776980 ISBN 13: 9783030776985
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Offers innovative machine learning and deep learning methods for dealing with power system issuesProvides promising solution methodologiesCovers theoretical background and experimental analysisMorteza Nazari-Heris, PhD, &n. Seller Inventory # 723462907

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Morteza Nazari-Heris
ISBN 10: 3030776980 ISBN 13: 9783030776985
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book evaluates the role of innovative machine learning and deep learning methods in dealing with power system issues, concentrating on recent developments and advances that improve planning, operation, and control of power systems. Cutting-edge case studies from around the world consider prediction, classification, clustering, and fault/event detection in power systems, providing effective and promising solutions for many novel challenges faced by power system operators. Written by leading experts, the book will be an ideal resource for researchers and engineers working in the electrical power engineering and power system planning communities, as well as students in advanced graduate-level courses. Seller Inventory # 9783030776985

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Published by Springer, 2022
ISBN 10: 3030776980 ISBN 13: 9783030776985
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Published by Springer, 2022
ISBN 10: 3030776980 ISBN 13: 9783030776985
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Published by Springer, 2022
ISBN 10: 3030776980 ISBN 13: 9783030776985
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Published by Springer, 2022
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Published by Springer, 2022
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Nazari-Heris, Morteza (Editor) / Asadi, Somayeh (Editor) / Mohammadi-Ivatloo, Behnam (Editor) / Abdar, Moloud (Editor) / Sadat-Mohammadi, Milad (Editor) / Jebelli, Houtan (Editor)
Published by Springer, 2022
ISBN 10: 3030776980 ISBN 13: 9783030776985
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Paperback. Condition: Brand New. 400 pages. 9.25x6.10x0.83 inches. In Stock. Seller Inventory # x-3030776980

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