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 …

Electric vehicles can offer a low carbon emission solution to reverse rising emission trends.
However, this requires that the energy used to meet the demand is green. To meet this …

Electric Vehicle (EV) charging demand and charging station availability forecasting is one of
the challenges in the intelligent transportation system. With accurate EV station availability …

The charging load forecasting is of significant importance to the economic operation of
charging stations and the stable operation of power systems. The charging stations couple …

Traffic prediction with high accuracy has significance towards traffic facilities scheduling,
adaptive traffic control logic, even the urban economic development. EV charging station …

This article proposes the operating status prediction model at electric vehicle (EV) charging
stations based on the spatiotemporal graph convolutional network (SGCN). The SGCN …

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

With the widespread use of electric vehicles, their charging power demand has increased
and become a significant burden on power grids. The uncoordinated deployment of electric …

Residential electric vehicle (REV) is an advanced technology with a rapid growth rate in
transportation and electric grids. One key challenge in the operation of REVs is the necessity …

The accurate estimation and prediction of charging demand play an essential role in
charging infrastructure planning, power grid laying and efficient operations. In this paper …