… could show that most electric vehicles in this study are used for commuting to and from work.
… There are very few studies on LSTM power demand prediction. Therefore, including studies …

… It aims at providing contributions regarding three issues related to the prediction of the
demand for electric vehicles: survey design, model estimation, and forecasting. We develop a …

… To overcome the mentioned problems in the literature, this paper proposed a spatial-temporal
charging demand prediction model in the integration of actual street networks and the …

… demand, the current probabilistic forecasting methods still have drawbacks that can be
overcome, which mainly focuses on the lack of prediction accuracy, the high cost of prediction …

… ABSTRACT Adoption of electric vehicles (EVs) has been regarded as one of the most important
strategies to address the issues of energy dependence and greenhouse effect. Empirical …

… In hybrid electric vehicles, the energy economy depends on the coordination between …
electric machines under the constraint that the total propulsion power satisfies the driver demand …

… The purpose of this study is to identify current problems with the existing electric vehicle public
… model to predict the demand of EV chargers in any city including in the City of San Diego. …

… prediction framework (FBLPF) is proposed in this paper for forecasting time-series demand
and … Although there are several studies related to product life cycle prediction, the selection of …

… To cope with the increasing charging demand of electric vehicle (… At the same time, the
prediction algorithm of the daily … of RF and the effective prediction of fluctuate charging load. By …

… electric vehicles, the energy consumption has become a key performance index to electric
vehicle … Accurate and real-time energy consumption prediction under real-world driving …