结合特征优选与双向长短期记忆网络的用能服务需求预测研究

康峰, 谭火超, 苏立伟, 简冬琳, 王帅, 覃浩, 张勇军

Energy Services Demand Forecasting Combined with Feature Preferences and Bidirectional Long- and Short-Term Memory Networks

KANG Feng, TAN Huochao, SU Liwei, JIAN Donglin, WANG Shuai, QIN Hao, ZHANG Yongjun

表4 各模型性能评价

Tab.4 Evaluation of performance of each model

算法 准确率 汉明损失 时间/s LightGBM 0.899 3 0.100 7 126.32 AM-BiLSTM 0.953 2 0.051 1 128.95 CNN-GRU 0.949 5 0.051 7 289.45 BiLSTM 0.833 4 0.157 9 196.85 AM-LSTM 0.871 2 0.193 6 243.15 AM-CNN-LSTM 0.949 8 0.051 2 279.67