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Titlebook: Application of Machine Learning and Deep Learning Methods to Power System Problems; Morteza Nazari-Heris,Somayeh Asadi,Milad Sadat-Moh Boo

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发表于 2025-3-21 20:08:19 | 显示全部楼层 |阅读模式
期刊全称Application of Machine Learning and Deep Learning Methods to Power System Problems
影响因子2023Morteza Nazari-Heris,Somayeh Asadi,Milad Sadat-Moh
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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Titlebook: Application of Machine Learning and Deep Learning Methods to Power System Problems;  Morteza Nazari-Heris,Somayeh Asadi,Milad Sadat-Moh Boo
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. 
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发表于 2025-3-21 22:48:33 | 显示全部楼层
Morteza Nazari-Heris,Somayeh Asadi,Milad Sadat-MohOffers innovative machine learning and deep learning methods for dealing with power system issues.Provides promising solution methodologies.Covers theoretical background and experimental analysis
发表于 2025-3-22 01:08:49 | 显示全部楼层
Power Systemshttp://image.papertrans.cn/a/image/159143.jpg
发表于 2025-3-22 08:25:14 | 显示全部楼层
Palgrave Studies in Urban Anthropologyt of new technologies, some new challenges have appeared, which required study and respect. With the development of technology and a comprehensive change of power systems, problem solutions also changed and led to challenges. These challenges can be explored in two ways. First, it is necessary to ex
发表于 2025-3-22 11:34:32 | 显示全部楼层
https://doi.org/10.1007/978-3-030-84379-3rving a large number of countries, or even continents. Nowadays, an electric power system is one of the largest man-made systems ever created, consisting of an enormous number of components ranging from small electric appliances to very large turbo-generators. Running such a large system is a signif
发表于 2025-3-22 13:28:21 | 显示全部楼层
Palgrave Studies in Urban Anthropologygence has given birth to various tools widely used in science and engineering. ML is utilized in solving various problems in the power system engineering community, such as power system planning and operation. In this chapter, the authors will investigate different machine learning methods, and we w
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