Application of Machine Learning and Deep Learning Methods to Power System Problems (Paperback, 1st ed. 2021)

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.

General

Imprint:	Springer Nature Switzerland AG
Country of origin:	Switzerland
Series:	Power Systems
Release date:	October 2022
First published:	2021
Editors:	Morteza Nazari-Heris • Somayeh Asadi • Behnam Mohammadi-Ivatloo • Moloud Abdar • Houtan Jebelli • Milad Sadat-Mohammadi
Dimensions:	235 x 155mm (L x W)
Format:	Paperback
Pages:	391
Edition:	1st ed. 2021
ISBN-13:	978-3-03-077698-5
Categories:	Books > Professional & Technical > Energy technology & engineering > Electrical engineering > General Books > Computing & IT > Applications of computing > Artificial intelligence > Machine learning
LSN:	3-03-077698-0
Barcode:	9783030776985

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