[HTML][HTML] Urban electric vehicle fast-charging demand forecasting model based on data-driven approach and human decision-making behavior

Q Xing, Z Chen, Z Zhang, X Xu, T Zhang, X Huang… - Energies, 2020 - mdpi.com
… This paper proposes an urban EV fast-charging demand forecasting model to plan driving
paths and recommend fast-charging stations, via mining of Didi trip data and modeling of …

Prediction of electric vehicle charging-power demand in realistic urban traffic networks

MB Arias, M Kim, S Bae - Applied energy, 2017 - Elsevier
… This paper presents a time-spatial electric vehicle (EV) charging-power demand forecast
model at fast-charging stations located in urban areas. Most previous studies have considered …

Electric vehicle charging demand forecasting using deep learning model

Z Yi, XC Liu, R Wei, X Chen, J Dai - Journal of Intelligent …, 2022 - Taylor & Francis
… term demand prediction refers to monthly or yearly forecast of … -term demand prediction is
to assist with investment planning … of commercial charging stations on state and city scales. To …

Charging demand forecasting model for electric vehicles based on online ride-hailing trip data

Q Xing, Z Chen, Z Zhang, X Huang, Z Leng, K Sun… - Ieee …, 2019 - ieeexplore.ieee.org
… traffic planning and operation. On the basis of this, a charging demand forecasting model of
EVs … At last, the actual urban traffic network in Nanjing, China was selected as an example to …

Review of electric vehicle charging demand forecasting based on multi-source data

HJ Feng, LC Xi, YZ Jun, YX Ling… - 2020 IEEE Sustainable …, 2020 - ieeexplore.ieee.org
… of large-scale electric vehicles in the urban inner network are … However, EV (Electric Vehicle)
charging demand prediction … design and planning of charging stations [2]. The structure of …

Charging demand prediction in Beijing based on real-world electric vehicle data

J Zhang, Z Wang, EJ Miller, D Cui, P Liu… - Journal of Energy …, 2023 - Elsevier
… records of 25,489 electric passenger vehicles in Beijing are … of electric vehicles and support
charging demand prediction. A “… The city charging demands are aggregated from individual …

D3P: Data-driven demand prediction for fast expanding electric vehicle sharing systems

M Luo, B Du, K Klemmer, H Zhu… - Proceedings of the …, 2020 - dl.acm.org
… problem for EV sharing studied in this paper also falls in the broader area of urbanurban
spaces [45]. In that sense, our work shares similar challenges and settings with the other urban

Short-term electric vehicle charging demand prediction: A deep learning approach

S Wang, C Zhuge, C Shao, P Wang, X Yang, S Wang - Applied Energy, 2023 - Elsevier
… on the short-term prediction of the Electric Vehicle (EV) charging demand at the station level.
… tree and cluster analysis methods to predict the EV charging demand at the city level. The …

[HTML][HTML] Forecasting charging demand of electric vehicles using time-series models

Y Kim, S Kim - Energies, 2021 - mdpi.com
… In addition to economic policies regarding electric vehicles, the supporting … forecasting
model for electric vehicle power suppliers regarding each EV charging unit in a country, city, or …

Regional differences in China's electric vehicle sales forecasting: Under supply-demand policy scenarios

B Liu, C Song, X Liang, M Lai, Z Yu, J Ji - Energy Policy, 2023 - Elsevier
… due to different urban development, … EV sales forecast model, the changes represented as
input indicators show different growth. Selecting the key characteristics of the urban EV market