Data & IT
Pocket
Application of Machine Learning and Deep Learning Methods to Power System Problems
Morteza Nazari-Heris • Somayeh Asadi • Behnam Mohammadi-Ivatloo • Moloud Abdar • Houtan Jebelli
1339:-
Uppskattad leveranstid 7-11 arbetsdagar
Fri frakt för medlemmar vid köp för minst 249:-
Andra format:
- Inbunden 1339:-
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.
- Format: Pocket/Paperback
- ISBN: 9783030776985
- Språk: Engelska
- Antal sidor: 391
- Utgivningsdatum: 2022-10-22
- Förlag: Springer Nature Switzerland AG