Dual-layered deep learning and optimization algorithm for electric vehicles charging infrastructure planning

•A two-stage deep learning method based on ARIMA and LSTM for the optimal prediction of the EV demands.•A novel multi-objective HAG technique for the optimal placement of EVCSs within the distribution network.•Incorporating total PL and AVDI as objectives within the multi-objective HAG technique. Th...

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Veröffentlicht in:	International journal of electrical power & energy systems Jg. 166; S. 110545
Hauptverfasser:	Sedhom, Bishoy E., Eladl, Abdelfattah A., Siano, Pierluigi, El-Afifi, Magda I.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 01.05.2025 Elsevier
Schlagworte:	Charging station Deep learning Electric vehicle Hybrid HAG Load forecasting Optimal EVs placement Deep learning Electric vehicle Load forecasting Optimal EVs placement Hybrid HAG Charging station
ISSN:	0142-0615
Online-Zugang:	Volltext
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