基于CNN-RNN组合模型的办公建筑能耗预测

曾国治, 魏子清, 岳宝, 丁云霄, 郑春元, 翟晓强

Energy Consumption Prediction of Office Buildings Based on CNN-RNN Combined Model

ZENG Guozhi, WEI Ziqing, YUE Bao, DING Yunxiao, ZHENG Chunyuan, ZHAI Xiaoqiang

表1 CNN-RNN模型顺序构成

Tab.1 Sequential structure of CNN-RNN model

网络层序号 类型 神经元个数 激活函数 1 Conv_1D 64 ReLU 2 Conv_1D 64 ReLU 3 SRNN(返回序列) 64 ELU 4 SRNN 32 ELU 5 Dense 32 ReLU 6 Dense 16 ReLU 7 Dense 8 ReLU