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

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

In order to accurately reflect the operation characteristics of office buildings, a convolutional neural network(CNN)-recurrent neural network(RNN)combined model for energy consumption prediction of office buildings is proposed by using the good feature extraction ability of CNN and the good time se...

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Bibliographic Details
Main Author: ZENG Guozhi, WEI Ziqing, YUE Bao, DING Yunxiao, ZHENG Chunyuan, ZHAI Xiaoqiang
Format: Article
Language:zho
Published: Editorial Office of Journal of Shanghai Jiao Tong University 2022-09-01
Series:Shanghai Jiaotong Daxue xuebao
Subjects:
prediction of building energy consumption
convolutional neural network (cnn)
recurrent neural network(rnn)
deep learning
Online Access:http://xuebao.sjtu.edu.cn/article/2022/1006-2467/1006-2467-56-9-1256.shtml

Internet

http://xuebao.sjtu.edu.cn/article/2022/1006-2467/1006-2467-56-9-1256.shtml

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