Share
Application of Machine Learning and Deep Learning Methods to Power System Problems
Nazari-Heris, Morteza ; Asadi, Somayeh ; Mohammadi-Ivatloo, Behnam (Author)
·
Springer
· Hardcover
Application of Machine Learning and Deep Learning Methods to Power System Problems - Nazari-Heris, Morteza ; Asadi, Somayeh ; Mohammadi-Ivatloo, Behnam
Choose the list to add your product or create one New List
✓ Product added successfully to the Wishlist.
Go to My Wishlists
Origin: U.S.A.
(Import costs included in the price)
It will be shipped from our warehouse between
Friday, July 12 and
Friday, July 19.
You will receive it anywhere in United Kingdom between 1 and 3 business days after shipment.
Synopsis "Application of Machine Learning and Deep Learning Methods to Power System Problems"
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.
