Developing a machine learning based building energy consumption prediction approach using limited data: Boruta feature selection and empirical mode decomposition

Developing a machine learning based building energy consumption prediction approach using limited data: Boruta feature selection and empirical mode decomposition

Artificial Intelligence methods (AI) have been widely applied in building energy consumption prediction. As data-intensive methods, lacking sufficient input features will significantly impede prediction performance. For some buildings where the building energy management systems (BEMs) are underperf...

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Bibliographic Details
Main Authors: Qingyao Qiao, Akilu Yunusa-Kaltungo, Rodger E. Edwards
Format: Article
Language:English
Published: Elsevier 2023-12-01
Series:Energy Reports
Subjects:
Building
Energy consumption prediction
Limited features
Feature creation
Feature selection
Online Access:http://www.sciencedirect.com/science/article/pii/S2352484723001907

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http://www.sciencedirect.com/science/article/pii/S2352484723001907

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