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

Produktform: E-Buch Text Elektronisches Buch in proprietärem

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. weiterlesen

Dieser Artikel gehört zu den folgenden Serien

Elektronisches Format: PDF

Sprache(n): Englisch

ISBN: 978-3-030-77696-1 / 978-3030776961 / 9783030776961

Verlag: Springer International Publishing

Erscheinungsdatum: 20.10.2021

Seiten: 391

Herausgegeben von Behnam Mohammadi-Ivatloo, Morteza Nazari-Heris, Somayeh Asadi, Houtan Jebelli, Moloud Abdar, Milad Sadat-Mohammadi

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