https://github.com/zongxr/dcic2024-photovoltaic
本赛题要求选手基于历史光伏发电数据、天气数据、光伏设备空间相对位置等信息，通过建立适当的模型，对未来一段时间内的光伏发电出力进行预测。A榜使用外部数据得分0.88501103804 排名32，未使用外部数据得分0.88042407737 ；B榜得分0.90467829011排名21.
https://github.com/zongxr/dcic2024-photovoltaic
lightgbm machine-learning time-series xgboost
Last synced: 6 months ago
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本赛题要求选手基于历史光伏发电数据、天气数据、光伏设备空间相对位置等信息，通过建立适当的模型，对未来一段时间内的光伏发电出力进行预测。A榜使用外部数据得分0.88501103804 排名32，未使用外部数据得分0.88042407737 ；B榜得分0.90467829011排名21.
- Host: GitHub
- URL: https://github.com/zongxr/dcic2024-photovoltaic
- Owner: ZongXR
- License: gpl-3.0
- Archived: true
- Created: 2024-03-06T04:18:34.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2024-04-09T00:39:36.000Z (over 1 year ago)
- Last Synced: 2025-03-06T00:16:56.230Z (8 months ago)
- Topics: lightgbm, machine-learning, time-series, xgboost
- Language: Jupyter Notebook
- Homepage: https://www.dcic-china.com/competitions/10097
- Size: 1.46 GB
- Stars: 28
- Watchers: 1
- Forks: 7
- Open Issues: 0