Improved Data-Driven Building Daily Energy Consumption Prediction Models Based on Balance Point Temperature

Improved Data-Driven Building Daily Energy Consumption Prediction Models Based on Balance Point Temperature

The data-driven models have been widely used in building energy analysis due to their outstanding performance. The input variables of the data-driven models are crucial for their predictive performance. Therefore, it is meaningful to explore the input variables that can improve the predictive perfor...

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Bibliographic Details
Main Authors: Hao Yang, Maoyu Ran, Haibo Feng
Format: Article
Language:English
Published: MDPI AG 2023-05-01
Series:Buildings
Subjects:
balance point temperature
prediction
building energy consumption
BP neural network
random forest
data-driven model
Online Access:https://www.mdpi.com/2075-5309/13/6/1423

Internet

https://www.mdpi.com/2075-5309/13/6/1423

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