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

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Éditeur :

Springer


Collection :

Power Systems

Paru le : 2021-10-20

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Description
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. 
Pages
391 pages
Collection
Power Systems
Parution
2021-10-20
Marque
Springer
EAN papier
9783030776954
EAN PDF
9783030776961

Informations sur l'ebook
Nombre pages copiables
3
Nombre pages imprimables
39
Taille du fichier
11930 Ko
Prix
147,69 €
EAN EPUB
9783030776961

Informations sur l'ebook
Nombre pages copiables
3
Nombre pages imprimables
39
Taille du fichier
42383 Ko
Prix
147,69 €