Accurate power demand prediction of electrical vehicles (EVs) is crucial to power grid
operation. To fully utilize the existing knowledge of EVs' power demand and further improve …

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 …

Short-term prediction of the Electric Vehicle (EV) charging demand is of great importance to
the operation of EV fleets and charging stations. This paper develops a Long Short-Term …

The accurate prediction of electric vehicles (EVs) load is the research basis for evaluating
the impact of EVs on the power grid and optimizing the operation of the power grid …

Short-term load forecasting is a key task to maintain the stable and effective operation of
power systems, providing reasonable future load curve feeding to the unit commitment and …

A deep neural network-based approach of energy demand modeling of electric vehicles
(EV) is proposed in this paper. The model-based prediction of energy demand is based on …

Short-term load forecasting is an important issue in energy management system and a key
measure to maintain the stable and effective operation of power systems, providing …

Accurately predicting the spatial-temporal distribution of electric vehicles (EVs) load is of
great significance to the optimal dispatching and safe operation of the power grid. This …

Electric vehicles have been gaining attention as a cleaner means of transportation that is
low-carbon and environmentally friendly and can reduce greenhouse gas emissions and air …

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