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

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

表2 3个模型的指标对比

Tab. 2 Index comparison of three models

模型 DL训练时间/s MSE/MW2 MAE/% RF-DL-RST 96.29 680.33 4.01 RF-DL 96.29 974.65 5.77 DL-RST 107.21 865.84 4.73