Deep Belief Network Based Hybrid Model for Building Energy Consumption Prediction

Deep Belief Network Based Hybrid Model for Building Energy Consumption Prediction

To enhance the prediction performance for building energy consumption, this paper presents a modified deep belief network (DBN) based hybrid model. The proposed hybrid model combines the outputs from the DBN model with the energy-consuming pattern to yield the final prediction results. The energy-co...

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Bibliographic Details
Main Authors: Chengdong Li, Zixiang Ding, Jianqiang Yi, Yisheng Lv, Guiqing Zhang
Format: Article
Language:English
Published: MDPI AG 2018-01-01
Series:Energies
Subjects:
building energy consumption prediction
deep belief network
contrastive divergence algorithm
least squares learning
energy-consuming pattern
Online Access:http://www.mdpi.com/1996-1073/11/1/242

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http://www.mdpi.com/1996-1073/11/1/242

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