Application of Machine Learning and Deep Learning Methods to Power System Problems /

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 predic...

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Bibliographic Details

Corporate Author:	SpringerLink (Online service)
Other Authors:	Nazari-Heris, Morteza (Editor), Asadi, Somayeh (Editor), Mohammadi-Ivatloo, Behnam (Editor), Abdar, Moloud (Editor), Jebelli, Houtan (Editor), Sadat-Mohammadi, Milad (Editor)
Format:	eBook
Language:	English
Published:	Cham : Springer International Publishing : Imprint: Springer, 2021.
Edition:	1st ed. 2021.
Series:	Power Systems,
Subjects:	Power electronics. Energy systems. Machine learning. Energy policy. Energy and state. Power Electronics, Electrical Machines and Networks. Energy Systems. Machine Learning. Energy Policy, Economics and Management. Electronic books.
Online Access:	Connect to the full text of this electronic book