基于随机森林算法和粗糙集理论的改进型深度学习短期负荷预测模型
Improved Deep Learning Model for Forecasting Short-Term Load Based on Random Forest Algorithm and Rough Set Theory
基于随机森林算法和粗糙集理论的改进型深度学习短期负荷预测模型 |
| 封钰, 宋佑斌, 金晟, 冯家欢, 史雪晨, 俞永杰, 黄弦超 |
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Improved Deep Learning Model for Forecasting Short-Term Load Based on Random Forest Algorithm and Rough Set Theory |
| Yu FENG, Youbin SONG, Sheng JIN, Jiahuan FENG, Xuechen SHI, Yongjie YU, Xianchao HUANG |
| 图6 实际负荷与RST修正前后预测负荷曲线对比 |
| Fig. 6 Comparison of actual load and predicted load curves before and after RST correction |
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