… -based charging demand prediction model … electric vehicle users. Temporal pattern attention
(TPA-LSTM) is applied to construct the load prediction model for building/electric vehicles in …

… prediction plays key importance in developing a smart charging strategy to reduce electric
vehicle … for multistep discrete charging occupancy state prediction. Unlike the existing LSTM …

… The ongoing electrification of mobility comes with the challenge of charging electric vehicles
… charge profile predictions finding that XGBoost yields the most accurate predictions with a …

… The prediction of the energy consumption of electric vehicles and buses have been investigated
previously and can be divided according to the given input factors. These input factors …

… vehicle dynamics and kinematics. As the ultimate goal of this study is all-electric range (AER)
prediction for electric vehicles, … The battery-to-wheel consumption of an electric vehicle is a …

… in forecasting energy demand of building heating system. Apart from predicting system …
COP of R134a EVI heat pump for electric vehicles are established. The models use SVR as …

… on the calibration of the driving range prediction [3]. A central challenge in this context is
the prediction of future energy demand. The energy demand prediction (EDP) is not only used …

… A traction power prediction and electric vehicle HESS power … of traction power demand
prediction, when compared to a … of traction power demand in electric vehicles. Future work will …

… Based on the previous research and the following three points in travel demand prediction,
this paper proposes a spatio-temporal network for demand prediction. First, travel demand in …

… modelling techniques for successful electric vehicle adoption. … Second, to review electric
vehicle charging load models with … approaches yield comparable prediction errors even though …