Electric vehicle charging demand forecasting model based on big data technologies

MB Arias, S Bae - Applied energy, 2016 - Elsevier
This paper presents a forecasting model to estimate electric vehicle charging demand based
on big data technologies. Most previous studies have not considered real-world traffic …

Research on electric vehicle charging safety warning model based on back propagation neural network optimized by improved gray wolf algorithm

L Zhang, T Gao, G Cai, KL Hai - Journal of Energy Storage, 2022 - Elsevier
New energy vehicles have become a global transportation development trend in order to
achieve considerable fuel consumption and carbon emission reductions. However, as the …

Machine learning-based management of electric vehicles charging: Towards highly-dispersed fast chargers

M Shibl, L Ismail, A Massoud - Energies, 2020 - mdpi.com
Coordinated charging of electric vehicles (EVs) improves the overall efficiency of the power
grid as it avoids distribution system overloads, increases power quality, and decreases …

Ensemble learning for charging load forecasting of electric vehicle charging stations

X Huang, D Wu, B Boulet - 2020 IEEE Electric Power and …, 2020 - ieeexplore.ieee.org
Electric vehicles (EVs) can help reduce the dependency on fossil oil and increasing
concerns on environmental pollution problems. However, due to the complex charging …

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
Accurately predicting the spatial-temporal distribution of electric vehicles (EVs) load is of
great significance to the optimal dispatching and safe operation of the power grid. This …

Deep learning LSTM recurrent neural network model for prediction of electric vehicle charging demand

J Shanmuganathan, AA Victoire, G Balraj, A Victoire - Sustainability, 2022 - mdpi.com
The immense growth and penetration of electric vehicles has become a major component of
smart transport systems; thereby decreasing the greenhouse gas emissions that pollute the …

Electric vehicle driver clustering using statistical model and machine learning

Y Xiong, B Wang, CC Chu… - 2018 IEEE power & energy …, 2018 - ieeexplore.ieee.org
Electric Vehicle (EV) is playing a significant role in the distribution energy management
systems since the power consumption level of the EVs is much higher than the other regular …

Prediction of energy consumption for new electric vehicle models by machine learning

A Fukushima, T Yano, S Imahara, H Aisu… - IET Intelligent …, 2018 - Wiley Online Library
Recommending suitable charging spots to drivers on expressways for both charging
equipment and electric vehicles (EVs) is an important issue for the spread of EVs. Therefore …

Application of artificial intelligence for ev charging and discharging scheduling and dynamic pricing: A review

Q Chen, KA Folly - Energies, 2022 - mdpi.com
The high penetration of electric vehicles (EVs) will burden the existing power delivery
infrastructure if their charging and discharging are not adequately coordinated. Dynamic …

Prediction of electric vehicles charging demand: A transformer-based deep learning approach

S Koohfar, W Woldemariam, A Kumar - Sustainability, 2023 - mdpi.com
Electric vehicles have been gaining attention as a cleaner means of transportation that is
low-carbon and environmentally friendly and can reduce greenhouse gas emissions and air …