ARIMA-based decoupled time series forecasting of electric vehicle charging demand for stochastic power system operation

Electric Power Systems Research

Volumn 140, Issue , 2016, Pages 378-390

  Amini, M Hadi ^a,b,c,d   Kargarian, Amin ^e   Karabasoglu, Orkun ^a,b,c,d  

^a SUN YAT SEN UNIVERSITY   (China)

^b CARNEGIE MELLON UNIVERSITY   (United States)

^c SYSU CMU Shunde International Joint Research Institute   (China)

^d SYSU   (China)

^e LOUISIANA STATE UNIVERSITY   (United States)

Author keywords

Autoregressive integrated moving average (ARIMA); Chance constrained security constrained unit commitment; Charging demand; Demand forecasting; Electric vehicle parking lots

Indexed keywords

CHARGING (BATTERIES); CRASHWORTHINESS; ELECTRIC VEHICLES; MEAN SQUARE ERROR; STOCHASTIC SYSTEMS; TIME SERIES ANALYSIS; VEHICLES;

AUTO-REGRESSIVE INTEGRATED MOVING AVERAGE; CHARGING DEMANDS; DEMAND FORECASTING; SECURITY CONSTRAINED UNIT COMMITMENT; VEHICLE PARKING;

FORECASTING;

EID: 84994432330     PISSN: 03787796     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.epsr.2016.06.003     Document Type: Article

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