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...

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Vydáno v:	Sustainable cities and society Ročník 45; s. 486 - 498
Hlavní autoři:	Sedighizadeh, Mostafa, Mohammadpour, Amirhosein, Alavi, Seyed Mohammad Mahdi
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Elsevier Ltd 01.02.2019
Témata:	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
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