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Condition: As New. Unread book in perfect condition.
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Application of Machine Learning and Deep Learning Methods to Power System Problems
Book 151 of 153: Power SystemsSeller: Ria Christie Collections, Uxbridge, United Kingdom
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Application of Machine Learning and Deep Learning Methods to Power System Problems
Book 151 of 153: Power SystemsSeller: Ria Christie Collections, Uxbridge, United Kingdom
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Application of Machine Learning and Deep Learning Methods to Power System Problems
Book 151 of 153: Power SystemsSeller: GreatBookPricesUK, Woodford Green, United Kingdom
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Application of Machine Learning and Deep Learning Methods to Power System Problems
Book 151 of 153: Power SystemsSeller: GreatBookPricesUK, Woodford Green, United Kingdom
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Application of Machine Learning and Deep Learning Methods to Power System Problems
Book 151 of 153: Power SystemsLanguage: English
Published by Springer Nature Switzerland AG, CH, 2021
ISBN 10: 3030776956 ISBN 13: 9783030776954
Seller: Rarewaves.com USA, London, LONDO, United Kingdom
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Add to basketHardback. Condition: New. 2021 ed.
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Condition: New. 1st ed. 2021 edition NO-PA16APR2015-KAP.
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Application of Machine Learning and Deep Learning Methods to Power System Problems (Power Systems)
Book 151 of 153: Power SystemsUS$ 147.46
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Application of Machine Learning and Deep Learning Methods to Power System Problems (Hardcover)
Book 151 of 153: Power SystemsLanguage: English
Published by Springer Nature Switzerland AG, Cham, 2021
ISBN 10: 3030776956 ISBN 13: 9783030776954
Hardcover. Condition: new. Hardcover. 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. 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Application of Machine Learning and Deep Learning Methods to Power System Problems (Paperback)
Book 151 of 153: Power SystemsLanguage: English
Published by Springer Nature Switzerland AG, Cham, 2022
ISBN 10: 3030776980 ISBN 13: 9783030776985
Paperback. Condition: new. Paperback. 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. 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Application of Machine Learning and Deep Learning Methods to Power System Problems
Book 151 of 153: Power SystemsLanguage: English
Published by Springer Nature Switzerland AG, CH, 2021
ISBN 10: 3030776956 ISBN 13: 9783030776954
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Add to basketHardback. Condition: New. 2021 ed. 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.
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Condition: New. 1st ed. 2021 edition NO-PA16APR2015-KAP.
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Application of Machine Learning and Deep Learning Methods to Power System Problems (Power Systems)
Book 151 of 153: Power SystemsUS$ 205.86
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Application Of Machine Learning And Deep
Book 151 of 153: Power SystemsSeller: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Ireland
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Application Of Machine Learning And Deep
Book 151 of 153: Power SystemsSeller: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Ireland
Seller rating 5 out of 5 stars
Condition: New.
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Application of Machine Learning and Deep Learning Methods to Power System Problems
Book 151 of 153: Power SystemsLanguage: English
Published by Springer International Publishing, Springer Nature Switzerland Okt 2021, 2021
ISBN 10: 3030776956 ISBN 13: 9783030776954
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
Buch. Condition: Neu. 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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 404 pp. Englisch.
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Application of Machine Learning and Deep Learning Methods to Power System Problems
Book 151 of 153: Power SystemsLanguage: English
Published by Springer International Publishing, Springer International Publishing Okt 2022, 2022
ISBN 10: 3030776980 ISBN 13: 9783030776985
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. 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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 404 pp. Englisch.
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Application of Machine Learning and Deep Learning Methods to Power System Problems
Book 151 of 153: Power SystemsLanguage: English
Published by Springer International Publishing, 2022
ISBN 10: 3030776980 ISBN 13: 9783030776985
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.
-
Application of Machine Learning and Deep Learning Methods to Power System Problems
Book 151 of 153: Power SystemsLanguage: English
Published by Springer International Publishing, 2021
ISBN 10: 3030776956 ISBN 13: 9783030776954
Buch. 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.
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International EditionCondition: New. Brand New! Fast Delivery This is an International Edition and ship within 24-48 hours. Deliver by FedEx and Dhl, & Aramex, UPS, & USPS and we do accept APO and PO BOX Addresses. Order can be delivered worldwide within 7-12 days and we do have flat rate for up to 2LB. Extra shipping charges will be requested if the Book weight is more than 5 LB. This Item May be shipped from India, United states & United Kingdom. Depending on your location and availability.
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Application of Machine Learning and Deep Learning Methods to Power System Problems (Hardcover)
Book 151 of 153: Power SystemsLanguage: English
Published by Springer Nature Switzerland AG, Cham, 2021
ISBN 10: 3030776956 ISBN 13: 9783030776954
Hardcover. Condition: new. Hardcover. 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. 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. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
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Application of Machine Learning and Deep Learning Methods to Power System Problems (Power Systems)
Book 151 of 153: Power SystemsUS$ 270.88
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Add to basketPaperback. Condition: Brand New. 400 pages. 9.25x6.10x0.83 inches. In Stock.
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Application of Machine Learning and Deep Learning Methods to Power System Problems
Book 151 of 153: Power SystemsUS$ 273.22
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Add to basketHardcover. Condition: Brand New. 400 pages. 9.25x6.10x0.94 inches. In Stock.
