Application of Machine Learning and Deep Learning Methods to Power System Pro...

$ 95.84

Item Length: 9.3 in Topic: Intelligence (Ai) & Semantics, Probability & Statistics / General, Power Resources / Electrical Item Weight: 21.8 Oz Number of Pages: IX, 391 Pages Language: English Genre: Mathematics, Computers, Technology & Engineering Illustrator: Yes Publication Year: 2022 Author: Somayeh Asadi Book Title: Application of Machine Learning and Deep Learning Methods to Power System Problems Item Width: 6.1 in gtin13: 9783030776985 Book Series: Power Systems Ser. Publisher: Springer International Publishing A&G ISBN: 9783030776985 Format: Trade Paperback

Description

Application of Machine Learning and Deep Learning Methods to Power System Problems by Nazari-Heris, Morteza, ISBN 3030776980, ISBN-13 9783030776985, 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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