A daytime optimal stochastic energy management for EV commercial parking lots by using approximate dynamic programming and hybrid big bang big crunch algorithm

•Proposing an optimal dynamic resource allocation system for commercial EV parking lots.•Combining both mathematical (i.e., ADP) and heuristic (i.e., HBB-BC) algorithms for optimization.•Developing a MLP-ANN for the accurate prediction of the electricity price and comparing it with WARMA model.•Pres...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	Sustainable cities and society Jg. 45; S. 486 - 498
Hauptverfasser:	Sedighizadeh, Mostafa, Mohammadpour, Amirhosein, Alavi, Seyed Mohammad Mahdi
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 01.02.2019
Schlagworte:	Approximate dynamic programing (ADP) Artificial neural network (ANN) Battery Hybrid big bang big crunch (HBB-BC) Multi-layer perceptron (MLP) Parking lots Plug in electric vehicles (PEVs) Plug in electric vehicles (PEVs) Parking lots Hybrid big bang big crunch (HBB-BC) Approximate dynamic programing (ADP) Battery Multi-layer perceptron (MLP) Artificial neural network (ANN)
ISSN:	2210-6707, 2210-6715
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!