Description: Application of Machine Learning and Deep Learning Methods to Power System Problems, Hardcover by Nazari-heris, Morteza (EDT); Asadi, Somayeh (EDT); Mohammadi-ivatloo, Behnam (EDT); Abdar, Moloud (EDT); Jebelli, Houtan (EDT), ISBN 3030776956, ISBN-13 9783030776954, Brand New, Free shipping in the US 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, th 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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Book Title: Application of Machine Learning and Deep Learning Methods to Power System Problems
Number of Pages: IX, 391 Pages
Language: English
Publisher: Springer International Publishing A&G
Publication Year: 2021
Topic: Intelligence (Ai) & Semantics, Probability & Statistics / General, Power Resources / Electrical
Illustrator: Yes
Genre: Mathematics, Computers, Technology & Engineering
Item Weight: 27.2 Oz
Item Length: 9.3 in
Author: Somayeh Asadi
Book Series: Power Systems Ser.
Item Width: 6.1 in
Format: Hardcover
