This paper presents a forecasting model to estimate electric vehicle charging demand based
on big data technologies. Most previous studies have not considered real-world traffic …

Load forecasting is one of the major challenges of power system operation and is crucial to
the effective scheduling for economic dispatch at multiple time scales. Numerous load …

Vehicle-to-grid (V2G) control has the potential to provide frequency regulation service for
power system operation from electric vehicles (EVs). In this paper, a decentralized V2G …

Transportation electrification is a valid option for supporting decarbonization efforts but, at
the same time, the growing number of electric vehicles will produce new and unpredictable …

Greenhouse gas (GHG) emission and excessive fuel consumption have become a pressing
issue nowadays. Particularly, CO2 emissions from transportation account for approximately …

The hybrid energy storage system (HESS), which combines the functionalities of
supercapacitors (SCs) and batteries, has been widely studied to extend the batteries' …

Electric vehicles (EVs) are promising to provide frequency regulation services due to their
fast regulating characteristics. However, when EVs participate in supplementary frequency …

Abstract Short-term Electric Vehicle (EV) charging demand prediction is an essential task in
the fields of smart grid and intelligent transportation systems, as understanding the …

Plug-in electric vehicles (PEVs) appear to offer a promising option for mitigating greenhouse
emission. However, uncoordinated PEV charging can weaken the reliability of power …

This article proposes a multiobjective sizing method of the retired battery integrating with the
photovoltaic solar energy used for the electric vehicle charging station (EVCS) against the …