Electric Vehicle Charging Hub Power Forecasting: A Statistical and Machine Learning Based Approach
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- Francesco Lo Franco & Mattia Ricco & Riccardo Mandrioli & Gabriele Grandi, 2020. "Electric Vehicle Aggregate Power Flow Prediction and Smart Charging System for Distributed Renewable Energy Self-Consumption Optimization," Energies, MDPI, vol. 13(19), pages 1-25, September.
- Zhiyuan Zhuang & Xidong Zheng & Zixing Chen & Tao Jin & Zengqin Li, 2022. "Load Forecast of Electric Vehicle Charging Station Considering Multi-Source Information and User Decision Modification," Energies, MDPI, vol. 15(19), pages 1-13, September.
- Benjamin Schaden & Thomas Jatschka & Steffen Limmer & Günther Robert Raidl, 2021. "Smart Charging of Electric Vehicles Considering SOC-Dependent Maximum Charging Powers," Energies, MDPI, vol. 14(22), pages 1-33, November.
- Dan Zhou & Zhonghao Guo & Yuzhe Xie & Yuheng Hu & Da Jiang & Yibin Feng & Dong Liu, 2022. "Using Bayesian Deep Learning for Electric Vehicle Charging Station Load Forecasting," Energies, MDPI, vol. 15(17), pages 1-15, August.
- Ahmad Almaghrebi & Fares Aljuheshi & Mostafa Rafaie & Kevin James & Mahmoud Alahmad, 2020. "Data-Driven Charging Demand Prediction at Public Charging Stations Using Supervised Machine Learning Regression Methods," Energies, MDPI, vol. 13(16), pages 1-21, August.
- Andrenacci, N. & Ragona, R. & Valenti, G., 2016. "A demand-side approach to the optimal deployment of electric vehicle charging stations in metropolitan areas," Applied Energy, Elsevier, vol. 182(C), pages 39-46.
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- Maria Carmela Di Piazza, 2024. "Volume II: Energy Management Systems for Optimal Operation of Electrical Micro/Nanogrids," Energies, MDPI, vol. 17(8), pages 1-3, April.
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Keywords
electric vehicles; EV power demand forecasting; charging hub; urban scenarios; machine learning;All these keywords.
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