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

Citations

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Cited by:

  1. Jun Zhang & Huiluan Cong & Hui Zhou & Zhiqiang Wang & Ziyi Wen & Xian Zhang, 2024. "Electric Vehicle Charging Load Prediction Based on Weight Fusion Spatial–Temporal Graph Convolutional Network," Energies, MDPI, vol. 17(19), pages 1-17, September.
  2. Kuang, Haoxuan & Qu, Haohao & Deng, Kunxiang & Li, Jun, 2024. "A physics-informed graph learning approach for citywide electric vehicle charging demand prediction and pricing," Applied Energy, Elsevier, vol. 363(C).
  3. Cao, Tingwei & Xu, Yinliang & Liu, Guowei & Tao, Shengyu & Tang, Wenjun & Sun, Hongbin, 2024. "Feature-enhanced deep learning method for electric vehicle charging demand probabilistic forecasting of charging station," Applied Energy, Elsevier, vol. 371(C).
  4. Ayşe Tuğba Yapıcı & Nurettin Abut & Tarık Erfidan, 2025. "Comparing the Effectiveness of Deep Learning Approaches for Charging Time Prediction in Electric Vehicles: Kocaeli Example," Energies, MDPI, vol. 18(8), pages 1-21, April.
  5. Li, Zhiwei & Li, Hangxin & Wang, Shengwei, 2026. "Customer baseline load estimation in incentive-based demand response programs: Requirements, solutions, challenges and future perspectives," Renewable and Sustainable Energy Reviews, Elsevier, vol. 226(PC).
  6. Tian, Chenlu & Liu, Yechun & Zhang, Guiqing & Yang, Yalong & Yan, Yi & Li, Chengdong, 2024. "Transfer learning based hybrid model for power demand prediction of large-scale electric vehicles," Energy, Elsevier, vol. 300(C).
  7. Zhuang, Yingrui & Cheng, Lin & Qi, Ning & Wang, Xinyi & Chen, Yue, 2025. "Real-time hosting capacity assessment for electric vehicles: A sequential forecast-then-optimize method," Applied Energy, Elsevier, vol. 380(C).
  8. Feng, Zhanyu & Zhang, Jian & Jiang, Han & Yao, Xuejian & Qian, Yu & Zhang, Haiyan, 2024. "Energy consumption prediction strategy for electric vehicle based on LSTM-transformer framework," Energy, Elsevier, vol. 302(C).
  9. Tian, Zhirui & Sun, Wenpu & Wu, Chenye, 2025. "MLP-Carbon: A new paradigm integrating multi-frequency and multi-scale techniques for accurate carbon price forecasting," Applied Energy, Elsevier, vol. 383(C).
  10. Shengcong Wu & Hang Li & Hang Wang, 2025. "Seasonal Load Statistics of EV Charging and Battery Swapping Stations Based on Gaussian Mixture Model for Charging Strategy Optimization in Electric Power Distribution Systems," Energies, MDPI, vol. 18(20), pages 1-24, October.
  11. Wang, Zhaoqi & Zhang, Lu & Tang, Wei & Ma, Ziyao & Huang, Jiajin, 2024. "Equilibrium configuration strategy of vehicle-to-grid-based electric vehicle charging stations in low-carbon resilient distribution networks," Applied Energy, Elsevier, vol. 361(C).
  12. Wang, Shengyou & Li, Yuan & Shao, Chunfu & Wang, Pinxi & Wang, Aixi & Zhuge, Chengxiang, 2025. "An adaptive spatio-temporal graph recurrent network for short-term electric vehicle charging demand prediction," Applied Energy, Elsevier, vol. 383(C).
  13. Chang, Munseok & Bae, Sungwoo, 2025. "Assessing monthly utilization of public electric vehicle charging infrastructure using weighted averaging strategies for a low-carbon transportation system," Applied Energy, Elsevier, vol. 401(PA).
  14. Waqar, Muhammad & Kim, Yong-Woon & Byun, Yung-Cheol, 2026. "A hybrid deep learning framework for multivariate energy forecasting and peak load prediction in electric vehicle charging infrastructure," Applied Energy, Elsevier, vol. 402(PB).
  15. Siow Jat Shern & Md Tanjil Sarker & Mohammed Hussein Saleh Mohammed Haram & Gobbi Ramasamy & Siva Priya Thiagarajah & Fahmid Al Farid, 2024. "Artificial Intelligence Optimization for User Prediction and Efficient Energy Distribution in Electric Vehicle Smart Charging Systems," Energies, MDPI, vol. 17(22), pages 1-25, November.
  16. Mohammed Gronfula & Khairy Sayed, 2025. "AI-Driven Predictive Control for Dynamic Energy Optimization in Flying Cars," Energies, MDPI, vol. 18(7), pages 1-35, April.
  17. Zhang, Xuan & Zhao, Qianyu & Wang, Shouxiang, 2025. "A spatiotemporal causal inference based multi-level game framework for load balancing among fast charging stations," Energy, Elsevier, vol. 336(C).
  18. Kamoona, Ammar & Song, Hui & Jalili, Mahdi & Wang, Hao & Razzaghi, Reza & Yu, Xinghuo, 2025. "Online electric vehicle charging detection based on memory-based transformer using smart meter data," Applied Energy, Elsevier, vol. 398(C).
  19. Zhang, Tianren & Huang, Yuping & Liao, Hui & Liang, Yu, 2023. "A hybrid electric vehicle load classification and forecasting approach based on GBDT algorithm and temporal convolutional network," Applied Energy, Elsevier, vol. 351(C).
  20. Tan, Bifei & Liang, Zipeng & Chung, C.Y. & Tan, Hong & Wang, Hang & Yang, Haosen, 2025. "Risk-based data-driven energy management for integrated electrical and hydrogen microgrids with improved hydrogen vehicle charging prediction," Applied Energy, Elsevier, vol. 398(C).
  21. Liu, Bingchun & Gao, Xu & Wang, Ying & Zhao, Shunfan, 2025. "Co-construction strategy of battery swapping stations and charging piles in China," Transport Policy, Elsevier, vol. 169(C), pages 56-73.
  22. Zhang, Lei & Huang, Zhijia & Wang, Zhenpo & Li, Xiaohui & Sun, Fengchun, 2024. "An urban charging load forecasting model based on trip chain model for private passenger electric vehicles: A case study in Beijing," Energy, Elsevier, vol. 299(C).
  23. Cao, Jianing & Han, Yuhang & Pan, Nan & Zhang, Jingcheng & Yang, Junwei, 2024. "A data-driven approach to urban charging facility expansion based on bi-level optimization: A case study in a Chinese city," Energy, Elsevier, vol. 300(C).
  24. Zhang, Yuerong & Cao, Yanghui, 2025. "Towards a combined framework for public electric vehicle charger accessibility in London," Journal of Transport Geography, Elsevier, vol. 129(C).
  25. Liu Wu & Min Liu & Ke Gong & Liudan Jiao & Xiaosen Huo & Yu Zhang & Hao Wang, 2025. "The Usage of Big Data in Electric Vehicle Charging: A Comprehensive Review," Energies, MDPI, vol. 18(19), pages 1-25, September.
  26. Muhammed Cavus & Huseyin Ayan & Dilum Dissanayake & Anurag Sharma & Sanchari Deb & Margaret Bell, 2025. "Forecasting Electric Vehicle Charging Demand in Smart Cities Using Hybrid Deep Learning of Regional Spatial Behaviours," Energies, MDPI, vol. 18(13), pages 1-30, June.
  27. Kuang, Haoxuan & Deng, Kunxiang & You, Linlin & Li, Jun, 2025. "Citywide electric vehicle charging demand prediction approach considering urban region and dynamic influences," Energy, Elsevier, vol. 320(C).
  28. Mao, Yaqi & Yu, Xiaobing & Wang, Feng & Zhu, Junhua, 2026. "Electric vehicle charging demand forecasting: A data-driven integrated learning approach," Renewable Energy, Elsevier, vol. 256(PD).
  29. Karla Schröder & Gonzalo Farias & Sebastián Dormido-Canto & Ernesto Fabregas, 2024. "Comparative Analysis of Deep Learning Methods for Fault Avoidance and Predicting Demand in Electrical Distribution," Energies, MDPI, vol. 17(11), pages 1-13, June.
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