Predictive model of energy consumption for office building by using improved GWO-BP
Building energy data analysis is a major branch of smart city development research. The usual back propagation neural network model for building energy prediction has problems of unclear physical significance, poor data generalization and low fitting accuracy. Therefore, a composite prediction model...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
Elsevier
2020-11-01
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Series: | Energy Reports |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2352484719312387 |