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About Electric Vehicle Charging Load Forecasting A Compa
1. The document discusses electric vehicle charging load forecasting using deep learning approaches. 2. It proposes a comparative study of popular deep learning methods like LSTM to forecast short-term electric vehicle charging loads using real-world minute-level charging station data from Shenzhen, China. 3. The results show that deep learning methods like LSTM achieve high forecasting accuracy and reduce errors by over 30% compared to conventional artificial neural networks.
Detailed Information
Author: | ['Ramesh KR'] |
---|---|
Publication Year: | 2021 |
Pages: | 19 |
Language: | English |
Format: | |
Price: | FREE |
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