[HTML][HTML] Multi-type electric vehicle load prediction based on Monte Carlo simulation

Y Xing, F Li, K Sun, D Wang, T Chen, Z Zhang - Energy Reports, 2022 - Elsevier
… In this paper, the EV charging load prediction model is established in terms of vehicle type,
the charging duration, daily mileage, starting charging moment, charging mode, and initial …

[HTML][HTML] Large-scale public charging demand prediction with a scenario-and activity-based approach

Q Jiang, N Zhang, BY He, C Lee, J Ma - Transportation research part A …, 2024 - Elsevier
… of electric vehicles (EVs) on road within decades. Accurately predicting the charging demand
is … This paper presents a novel modeling framework to predict the public charging demand

A user-based relocation model for one-way electric carsharing system based on micro demand prediction and multi-objective optimization

N Wang, S Jia, Q Liu - Journal of Cleaner Production, 2021 - Elsevier
… In summary, the BP neural network of the vehicle demand prediction model is shown in Fig.
Demand prediction of electric carsharing In order to forecast the demand of electric vehicles, …

[引用][C] Hybrid Predictive Modeling for Charging Demand Prediction of Electric Vehicles

J Young-Eun, SB Kang, JI Seo - Sustainability, 2022 - MDPI AG

An empirically-validated methodology to simulate electricity demand for electric vehicle charging

CB Harris, ME Webber - Applied energy, 2014 - Elsevier
… In particular, this study focuses on temporally-resolved prediction of electricity demand
needed to serve PEV charging loads if charge scheduling or control is not widespread. …

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
… Although the above works have established charging demand prediction models at a
macroscopic level, they can describe the spatial-temporal scale distribution characteristics of …

Data-driven approach for short-term power demand prediction of fuel cell hybrid vehicles

T Zeng, C Zhang, D Hao, D Cao, J Chen, J Chen, J Li - Energy, 2020 - Elsevier
… alternative power source in electric vehicles due to zero … demand of vehicle can be perceived
in some way, the system control decision may determine earlier than actual power demand

Deep learning approach for long-term prediction of electric vehicle (ev) charging station availability

R Luo, Y Zhang, Y Zhou, H Chen… - 2021 IEEE …, 2021 - ieeexplore.ieee.org
… Miao, and AL Bazzan, “Optimal electric vehicle fast charging station placement based on
game theoretical framework,” IEEE Transactions on Intelligent Transportation Systems, vol. 19, …

Household EV charging demand prediction using machine and ensemble learning

S Ai, A Chakravorty, C Rong - 2018 IEEE International …, 2018 - ieeexplore.ieee.org
… of accurate EV charging demand prediction in household. Various … of power systems demand
due to electric vehicle charging load,” … Binding, “Toward electric vehicle trip prediction for a …

[HTML][HTML] Secure and efficient prediction of electric vehicle charging demand using α2-LSTM and AES-128 cryptography

M Bharat, R Dash, KJ Reddy, ASR Murty… - Energy and AI, 2024 - Elsevier
… -LSTM is proposed to predict the demand for charging from electric vehicles at a 15-minute …
increase in demand accuracy. We present a 12-month prediction of EV charging demand at …