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Více informací o knize Application of Machine Learning and Deep Learning Methods to Power System Problems

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Anotace knihy

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.

Parametry knihy

Zařazení knihy Knihy v němčině Naturwissenschaften, Medizin, Informatik, Technik Technik Bau- und Umwelttechnik

• Plný název: Application of Machine Learning and Deep Learning Methods to Power System Problems
• Autor: Somayeh Asadi, Milad Sadat-Mohammadi, Moloud Abdar, Houtan Jebelli, Behnam Mohammadi-Ivatloo
• Jazyk: Angličtina
• Vazba: Pevná
• Počet stran: 404
• EAN: 9783030776954
• ISBN: 3030776956
• ID: 37322789
• Nakladatelství: Springer Nature Switzerland AG
• Hmotnost: 770 g
• Rozměry: 241 × 160 × 27 mm
• Datum vydání: 21. October 2021

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