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portada Application of Machine Learning and Deep Learning Methods to Power System Problems
Type
Physical Book
Publisher
Language
English
Pages
391
Format
Paperback
Dimensions
23.4 x 15.6 x 2.1 cm
Weight
0.56 kg.
ISBN13
9783030776985

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

Behnam Mohammadi-Ivatloo (Illustrated by) · Morteza Nazari-Heris (Illustrated by) · Somayeh Asadi (Illustrated by) · Springer · Paperback

Application of Machine Learning and Deep Learning Methods to Power System Problems - Nazari-Heris, Morteza ; Asadi, Somayeh ; Mohammadi-Ivatloo, Behnam

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Origin: U.S.A. (Import costs included in the price)
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Synopsis "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 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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