Application of Machine Learning and Deep Learning Methods to Power System Problems e-bog
1167,65 DKK
(inkl. moms 1459,56 DKK)
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...
E-bog
1167,65 DKK
Forlag
Springer
Udgivet
20 oktober 2021
Genrer
The environment
Sprog
English
Format
epub
Beskyttelse
LCP
ISBN
9783030776961
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.