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

Electronic Resource

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

Nazari-Heris, Morteza - Personal Name; Asadi, Somayeh - Personal Name; Mohammadi-Ivatloo, Behnam - Personal Name; Abdar, Moloud - Personal Name; Jebelli, Houtan - Personal Name; Sadat-Mohammadi, Milad - Personal Name;

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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.


Availability
Inventory Code Barcode Call Number Location Status
1908001443EB0002049621.310 285 63 AppCentral Library (OPAC)Available
Detail Information
Series Title
-
Call Number
621.310 285 63 App
Publisher
Switzerland : Springer Cham., 2021
Collation
IX, 391p.:Ill
Language
English
ISBN/ISSN
978-3-030-77696-1
Classification
621.310 285 63
Content Type
Ebook
Media Type
-
Carrier Type
online resource
Edition
1
Subject(s)
Machine Learning
Specific Detail Info
-
Statement of Responsibility
BRF
Other version/related

No other version available

File Attachment
  • Application of Machine Learning and Deep Learning Methods to Power System Problems
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