EV charging load forecasting using an enhanced Monte Carlo simulation methods
To address the limitations of conventional Monte Carlo simulation methods in electric vehicle （EV） charging load forecasting—particularly their large probability distribution fitting errors and strong data randomness—this paper proposes an enhanced approach integrating Gaussian mixture model （GMM） a...
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| Главные авторы: | , , , |
|---|---|
| Формат: | Artigo |
| Язык: | Chinês |
| Опубликовано: |
zhejiang electric power
2025-08-01
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| Серии: | Zhejiang dianli |
| Предметы: | |
| Online-ссылка: | https://zjdl.cbpt.cnki.net/portal/journal/portal/client/paper/40b12e5fbe10b67c5b22cfb4205ab397 |
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