Übersicht			Auf mobile öffnen

Lieferstatus:	i.d.R. innert 5-10 Tagen versandfertig
Veröffentlichung:	Oktober 2022
Genre:	Naturwissensch., Medizin, Technik
	Artificialneuralnetworks(ANNs) / Convolutionalneuralnetwork(CNN) / DeepNeuralNetwork(DNN) / Electricalpowerengineering / Elektrotechnik / Energieerzeugung und -verteilung / Evolutionary-basedmethods / ExpertSystems / Fault/EventDetection / fuzzysystems / LongShortTermMemory(LSTM) / PowerSystemPlanning / powersystems / Powersystemsmodeling / Umwelt mehr...
ISBN:	9783030776985
EAN-Code:	9783030776985
Verlag:	Springer
Einband:	Kartoniert
Sprache:	English
Dimensionen:	H 235 mm / B 155 mm / D 22 mm
Gewicht:	610 gr
Seiten:	404
Bewertung:	Titel bewerten / Meinung schreiben

Inhalt:

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.