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
Electric vehicle (EV) has been popularized and promoted on a large scale because of its
clean and efficient features. Charging this increasing number of EVs is expected to have an …

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
The accurate estimation and prediction of charging demand play an essential role in
charging infrastructure planning, power grid laying and efficient operations. In this paper …

A systematic methodology for mid-and-long term electric vehicle charging load forecasting: The case study of Shenzhen, China

Y Zheng, Z Shao, Y Zhang, L Jian - Sustainable Cities and Society, 2020 - Elsevier
More and more adoptions of electric vehicles (EVs) would bring a potential threat on the
existing electric grid. In this context, a systematic methodology is presented in this paper to …

Charging demand for electric vehicle based on stochastic analysis of trip chain

T Shun, L Kunyu, X Xiangning… - IET Generation …, 2016 - Wiley Online Library
With its popularisation, electric vehicle (EV) has been part of the important load of smart grid.
The analysis on charging demands of EVs is the basis of the study of influences on power …

An activity-based travel and charging behavior model for simulating battery electric vehicle charging demand

YS Liu, M Tayarani, HO Gao - Energy, 2022 - Elsevier
The expansion of the battery electric vehicle (BEV) market requires considerable changes in
the supply of electricity to fulfill the charging demand. To this end, understanding the spatio …

Charging demand analysis framework for electric vehicles considering the bounded rationality behavior of users

J Yang, F Wu, J Yan, Y Lin, X Zhan, L Chen… - International Journal of …, 2020 - Elsevier
A novel analytic framework is proposed for the charging demand of electric vehicles (EVs),
which considers charging demand is primarily determined by the travel behavior. And the …

A spatial-temporal charging load forecast and impact analysis method for distribution network using EVs-traffic-distribution model

Y Shao, Y Mu, X Yu, X Dong, H Jia, J Wu… - Proceedings of the …, 2017 - orca.cardiff.ac.uk
A method for the forecast of charging load of electric vehicles (EVs) under “EVs-Traffic-
Distribution”(ETD) system was developed to precisely manifest the spatial-temporal …

Price incentive-based charging navigation strategy for electric vehicles

X Li, Y Xiang, L Lyu, C Ji, Q Zhang… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
With rapid development of the electric vehicle (EV) industry, charging infrastructures are built
fast. However, the unreasonable deployments with increasing EVs contribute to a long …

Trajectory-driven planning of electric taxi charging stations based on cumulative prospect theory

Y Li, S Su, B Liu, K Yamashita, Y Li, L Du - Sustainable Cities and Society, 2022 - Elsevier
The charging station planning is crucial to facilitate convenient and efficient charging of
electric taxis (ETs). As typical transportation and mobile power load, the accurate modeling …

Charging infrastructure demands of shared-use autonomous electric vehicles in urban areas

H Zhang, CJR Sheppard, TE Lipman, T Zeng… - … Research Part D …, 2020 - Elsevier
Ride-hailing is a clear initial market for autonomous electric vehicles (AEVs) because it
features high vehicle utilization levels and strong incentive to cut down labor costs. An …