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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.
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.
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