Author:
Huang Qijin,Chen Yan,Sun Zhou,Cao Jing,Zhao Jiakui,Ouyang Hong,Zhu Pingfei,Wang Dong,Liu Yuxi
Cited by
5 articles.
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1. Short-Term EV Charging Demand Forecast with Feedforward Artificial Neural Network;JURNAL NASIONAL TEKNIK ELEKTRO;2023-07-31
2. Clustering Based Method anomaly definition in Electric Vehicles charging curves;2023 IEEE International Conference on Environment and Electrical Engineering and 2023 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe);2023-06-06
3. Use of Piecewise Linear Regression to Model and Analyze EV Charging Curve;2023 IEEE International Conference on Environment and Electrical Engineering and 2023 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe);2023-06-06
4. Electric Vehicle Energy Demand Prediction Techniques: An In-Depth and Critical Systematic Review;IEEE Access;2023
5. A Novel AI-based Method for EV Charging Load Profile Clustering;2022 IEEE Transportation Electrification Conference and Expo, Asia-Pacific (ITEC Asia-Pacific);2022-10-28