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

Download or Read eBook Application of Machine Learning and Deep Learning Methods to Power System Problems PDF written by Morteza Nazari-Heris and published by Springer Nature. This book was released on 2021-11-21 with total page 391 pages. Available in PDF, EPUB and Kindle.
Application of Machine Learning and Deep Learning Methods to Power System Problems
Author :
Publisher : Springer Nature
Total Pages : 391
Release :
ISBN-10 : 9783030776961
ISBN-13 : 3030776964
Rating : 4/5 (61 Downloads)

Book Synopsis Application of Machine Learning and Deep Learning Methods to Power System Problems by : Morteza Nazari-Heris

Book excerpt: 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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