Application of Machine Learning and Deep Learning Methods to Power System Problems (1st ed. 2021) (Power Systems)
By: and and and and and
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- Synopsis
- 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.
- Copyright:
- 2021
Book Details
- Book Quality:
- Publisher Quality
- ISBN-13:
- 9783030776961
- Related ISBNs:
- 9783030776954
- Publisher:
- Springer International Publishing
- Date of Addition:
- 08/30/22
- Copyrighted By:
- The Editor
- Adult content:
- No
- Language:
- English
- Has Image Descriptions:
- No
- Categories:
- Nonfiction, Computers and Internet, Business and Finance, Technology
- Submitted By:
- Bookshare Staff
- Usage Restrictions:
- This is a copyrighted book.
- Edited by:
- Morteza Nazari-Heris
- Edited by:
- Somayeh Asadi
- Edited by:
- Behnam Mohammadi-Ivatloo
- Edited by:
- Moloud Abdar
- Edited by:
- Houtan Jebelli
- Edited by:
- Milad Sadat-Mohammadi
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- by Somayeh Asadi
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- by Moloud Abdar
- by Houtan Jebelli
- by Milad Sadat-Mohammadi
- in Nonfiction
- in Computers and Internet
- in Business and Finance
- in Technology