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...

Celý popis

Podrobná bibliografie

Vydáno v:	International journal of electrical power & energy systems Ročník 166; s. 110545
Hlavní autoři:	Sedhom, Bishoy E., Eladl, Abdelfattah A., Siano, Pierluigi, El-Afifi, Magda I.
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Elsevier Ltd 01.05.2025 Elsevier
Témata:	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
On-line přístup:	Získat plný text
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!