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

Name: Application of Machine Learning and Deep Learning Methods to Power System Problems
Brand: Springer Nature Switzerland AG
SKU: 9783030776954
Price: 23400 KES
Availability: OutOfStock
ISBN: 9783030776954

2021 ed.

Book Details

Format Hardback

Book Series Power Systems

ISBN-10 3030776956

ISBN-13 9783030776954

Edition 2021 ed.

Publisher Springer Nature Switzerland AG

Imprint Springer Nature Switzerland AG

Country of Manufacture GB

Country of Publication GB

Publication Date Oct 21st, 2021

Print length 391 Pages

Product Classification: Electrical engineering Machine learning

KSh 23,400.00

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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.

Get Application of Machine Learning and Deep Learning Methods to Power System Problems by Behnam Mohammadi-Ivatloo at the best price and quality guaranteed only at Werezi Africa's largest book ecommerce store. The book was published by Springer Nature Switzerland AG and it has 391 pages.