基于改进LSTM的商业建筑冷负荷预测模型
董芳楠,武强,刘佳瑶,于军琪

Cooling load prediction model for commercial buildings based on improved LSTM
Fangnan DONG,Qiang WU,Jiayao LIU,Junqi YU
表 5 不同冷负荷预测模型的性能指标对比
Tab.5 Comparison of performance metrics for different cooling load prediction models
建筑物预测模型CV-RMSEMAPEMSE
建筑1LSTM0.15313.100.272
Adam-LSTM0.1075.700.083
SVR0.16316.200.354
BPNN0.19017.030.504
SCOA-LSTM0.12111.600.173
WAdam-LSTM0.0632.700.058
建筑2LSTM0.15319.400.269
Adam-LSTM0.07910.900.146
SVR0.17315.700.312
BPNN0.15718.140.474
SCOA-LSTM0.11210.900.146
WAdam-LSTM0.0725.200.059