Study on orderly charging strategy of EV with load forecasting

W Yin, J Ji, T Wen, C Zhang - Energy, 2023 - Elsevier
The development and popularization of electric vehicles (EVs) is of great significance to
environmental protection, energy saving and emission reduction. With the wide …

Research on EV charging load forecasting and orderly charging scheduling based on model fusion

W Yin, J Ji - Energy, 2024 - Elsevier
The randomness and uncertainty of charging behavior of EV users bring great challenges to
the short-term prediction of charging load of EV charging stations. Aiming at the low …

Research on load forecasting of charging station based on XGBoost and LSTM model

M Xue, L Wu, QP Zhang, JX Lu, X Mao… - Journal of Physics …, 2021 - iopscience.iop.org
At this stage, due to the increasing use of electric vehicles, the position of electric vehicle
load scheduling in grid power scheduling is becoming more and more important. Effective …

[HTML][HTML] Multi-time scale electric vehicle charging load forecasting considering constant current charging and parallel computing

H Bian, Z Guo, C Zhou, S Peng - Energy Reports, 2022 - Elsevier
At present, the concept of ecological civilization has been widely recognized by the whole
world, and a series of policies that guarantees the evolution of the electric vehicle (EV) …

Charging load forecasting of electric vehicle charging station based on support vector regression

Q Sun, J Liu, X Rong, M Zhang, X Song… - 2016 IEEE PES Asia …, 2016 - ieeexplore.ieee.org
In allusion to the problem that electric vehicle (EV) charging time and state of charge (SOC)
randomness leads to the traditional application of EV charging load characteristic …

The application of improved random forest algorithm on the prediction of electric vehicle charging load

Y Lu, Y Li, D Xie, E Wei, X Bao, H Chen, X Zhong - Energies, 2018 - mdpi.com
To cope with the increasing charging demand of electric vehicle (EV), this paper presents a
forecasting method of EV charging load based on random forest algorithm (RF) and the load …

Electric vehicle charging load clustering and load forecasting based on long short term memory neural network

H Wang, X Huang, S Gao, Z Yang… - 2022 IEEE 5th …, 2022 - ieeexplore.ieee.org
With the increasing number of electric vehicles, the charging load of electric vehicles has a
huge impact on the scheduling and operation of the grid. Therefore, the charging load …

[PDF][PDF] Research on electric vehicle charging load prediction and charging mode optimization

Z Zhang, H Shi, R Zhu, H Zhao, Y Zhu - Archives of Electrical …, 2021 - journals.pan.pl
To reduce the influence of the disorderly charging of electric vehicles (EVs) on the grid load,
the EV charging load and charging mode are studied in this paper. First, the distribution of …

Charging load forecasting of electric vehicle based on Monte Carlo and deep learning

Q Gao, T Zhu, W Zhou, G Wang, T Zhang… - … Power and Energy …, 2019 - ieeexplore.ieee.org
An intelligent charging load forecasting method of the electric vehicle plays a vital role in
power generation and power market optimization. In this paper, electric vehicles have been …

Aggregated electric vehicle fast-charging power demand analysis and forecast based on LSTM neural network

M Chang, S Bae, G Cha, J Yoo - Sustainability, 2021 - mdpi.com
With the widespread use of electric vehicles, their charging power demand has increased
and become a significant burden on power grids. The uncoordinated deployment of electric …