A novel discrete deep learning-based intelligent methodology for energy consumption classification

Energy consumption classification is one of the most widely-used approaches in the energy area that is applied in various applications such as household, commercial, urban, rural, industrial, etc. Energy consumption due to its substantial positive influence on the quality of made decisions, producti...

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Veröffentlicht in:	Energy reports Jg. 9; S. 4861 - 4871
Hauptverfasser:	Khashei, Mehdi, Chahkoutahi, Fatemeh, Bakhtiarvand, Negar
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 01.12.2023 Elsevier
Schlagworte:	Deep multilayer neural networks (DMNs) Discrete and continuous learning algorithms Energy consumption Intelligent modeling and classification Energy consumption Intelligent modeling and classification Discrete and continuous learning algorithms Deep multilayer neural networks (DMNs)
ISSN:	2352-4847, 2352-4847
Online-Zugang:	Volltext
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