期刊全称 | Application of Machine Learning and Deep Learning Methods to Power System Problems | 影响因子2023 | Morteza Nazari-Heris,Somayeh Asadi,Milad Sadat-Moh | 视频video | | 发行地址 | Offers innovative machine learning and deep learning methods for dealing with power system issues.Provides promising solution methodologies.Covers theoretical background and experimental analysis | 学科分类 | Power Systems | 图书封面 |  | 影响因子 | 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. | Pindex | Book 2021 |
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