Electric Vehicle Charging Demand Prediction Model Based on Spatiotemporal Attention Mechanism
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- Zhu, Nanyang & Wang, Ying & Yuan, Kun & Yan, Jiahao & Li, Yaping & Zhang, Kaifeng, 2024. "GGNet: A novel graph structure for power forecasting in renewable power plants considering temporal lead-lag correlations," Applied Energy, Elsevier, vol. 364(C).
- Zhang, Jing & Yan, Jie & Liu, Yongqian & Zhang, Haoran & Lv, Guoliang, 2020. "Daily electric vehicle charging load profiles considering demographics of vehicle users," Applied Energy, Elsevier, vol. 274(C).
- 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).
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- Muhammed Cavus & Huseyin Ayan & Mahmut Sari & Osman Akbulut & Dilum Dissanayake & Margaret Bell, 2025. "Enhancing Smart Grid Reliability Through Data-Driven Optimisation and Cyber-Resilient EV Integration," Energies, MDPI, vol. 18(17), pages 1-24, August.
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