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

Language EnglishEnglish
E-book Adobe ePub DRM
E-book Application of Machine Learning and Deep Learning Methods to Power System Problems Morteza Nazari-Heris
Libristo code: 41013606
Publishers Springer, October 2021
This book evaluates the role of innovative machine learning and deep learning methods in dealing wit... Full description
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63 079 Ft
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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 E-book - Adobe ePub DRM
Date of issue 2021
EAN 9783030776961
Libristo code 41013606
Publishers Springer

Categories

Computing & Information Technology > Computer science > Artificial intelligence > Machine learning
Technology, Engineering, Agriculture > Energy technology & engineering > Electrical engineering
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