Trip pricing scheme for electric vehicle sharing network with demand prediction

S Wang, Y Yang, Y Chen, X Zhao - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
… Section II proposes the proposed EV demand prediction method; Section III presents the …
SEV DEMAND PREDICTION MODEL In this section, the proposed SEV demand prediction

An Innovative Service for Electric Vehicle Energy Demand Prediction

MP Fanti, AM Mangini… - 2020 7th International …, 2020 - ieeexplore.ieee.org
… solutions to support the diffusion of electric vehicles (EVs). In … can improve the experience of
electric vehicle users by providing … energy demand prediction problem for an electric vehicle. …

Ensemble machine learning-based algorithm for electric vehicle user behavior prediction

YW Chung, B Khaki, T Li, C Chu, R Gadh - Applied Energy, 2019 - Elsevier
electric vehicle (EV) charging behavior and aims to find the best method for its prediction in
… It is noted that prediction error increases along with the rise of data entropy or the decrease …

Data-driven spatial-temporal prediction of electric vehicle load profile considering charging behavior

X Ge, L Shi, Y Fu, SM Muyeen, Z Zhang… - Electric Power Systems …, 2020 - Elsevier
prediction methods can no longer meet the demand for reasonable and accurate scheduling
of the power grid in terms of prediction … of researches on EV charging demand prediction. …

A physics-informed graph learning approach for citywide electric vehicle charging demand prediction and pricing

H Kuang, H Qu, K Deng, J Li - Applied Energy, 2024 - Elsevier
… accuracy and achieved good results, there is still a lack of predictiondemand. To fill the
research gaps, we propose a learning approach for accurate EV charging demand prediction

ARIMA-based decoupled time series forecasting of electric vehicle charging demand for stochastic power system operation

MH Amini, A Kargarian, O Karabasoglu - Electric Power Systems Research, 2016 - Elsevier
… Our EV charging demand prediction model takes daily driving patterns and distances as an
input to determine the expected charging load profiles. The parameters of the ARIMA model …

Predicting electric vehicle charging demand using a heterogeneous spatio-temporal graph convolutional network

S Wang, A Chen, P Wang, C Zhuge - Transportation Research Part C …, 2023 - Elsevier
… Short-term Electric Vehicle (EV) charging demand prediction … spatiotemporal distribution of
charging demand over the next … charging demand prediction refers to an accurate prediction

Electric vehicle behavior modeling and applications in vehicle-grid integration: An overview

X Li, Z Wang, L Zhang, F Sun, D Cui, C Hecht… - Energy, 2023 - Elsevier
… The uptake of electric vehicles (EVs) has seen remarkable acceleration worldwide in recent
… the foundation for accurate charging demand prediction and for enabling smart charging by …

Machine learning-based electric vehicle charging demand prediction using origin-destination data: A uae case study

E ElGhanam, M Hassan… - 2022 5th International …, 2022 - ieeexplore.ieee.org
… A performance comparison between the R2 and SMAPE scores of the best performing ML
algorithm in this work and earlier works on EV energy demand prediction in [8] and [11] is …

A physics-informed and attention-based graph learning approach for regional electric vehicle charging demand prediction

H Qu, H Kuang, Q Wang, J Li… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
… distribution of electric vehicle charging load demand: A case … Dai, “Electric vehicle charging
demand forecasting using … method for power demand prediction of electric vehicles based on …