TY  - GEN
N2  - 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. Offers innovative machine learning and deep learning methods for dealing with power system issues; Provides promising solution methodologies; Covers theoretical background and experimental analysis.
DO  - 10.1007/978-3-030-77696-1
DO  - doi
AB  - 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. Offers innovative machine learning and deep learning methods for dealing with power system issues; Provides promising solution methodologies; Covers theoretical background and experimental analysis.
T1  - Application of machine learning and deep learning methods to power system problems /
AU  - Nazari-Heris, Morteza,
AU  - Asadi, Somayeh,
AU  - Mohammadi-Ivatloo, Behnam,
AU  - Abdar, Moloud,
AU  - Jebelli, Houtan,
AU  - Sadat-Mohammadi, Milad,
CN  - TK1005
N1  - Includes index.
ID  - 1440569
KW  - Electric power systems
KW  - Machine learning.
KW  - Réseaux électriques (Énergie)
KW  - Apprentissage automatique.
SN  - 9783030776961
SN  - 3030776964
TI  - Application of machine learning and deep learning methods to power system problems /
LK  - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-030-77696-1
UR  - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-030-77696-1
ER  -