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

Language EnglishEnglish
Book Paperback
Book Application of Machine Learning and Deep Learning Methods to Power System Problems Morteza Nazari-Heris
Libristo code: 41617362
Publishers Springer, Berlin, November 2021
This book evaluates the role of innovative machine learning and deep learning methods in dealing wit... Full description
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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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About the book

Full name Application of Machine Learning and Deep Learning Methods to Power System Problems
Author Morteza Nazari-Heris, Somayeh Asadi, Behnam Mohammadi-ivatloo, Moloud Abdar, Houtan Jebelli, Milad Sadat-Mohammadi
Language English
Binding Book - Paperback
Date of issue 2022
Number of pages 391
EAN 9783030776985
Libristo code 41617362
Publishers Springer, Berlin
Weight 610
Dimensions 155 x 235 x 22

Categories

Technology, Engineering, Agriculture > Energy technology & engineering > Energy, power generation, distribution & storage
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