Developing a machine learning based building energy consumption prediction approach using limited data: Boruta feature selection and empirical mode decomposition-Reference-Cited by-同舟云学术

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

Published:2023-12 Issue: Volume:9 Page:3643-3660
ISSN:2352-4847
Container-title:Energy Reports
language:en
Short-container-title:Energy Reports

Author:

Qiao Qingyao,Yunusa-Kaltungo Akilu^ORCID,Edwards Rodger E.

Publisher

Elsevier BV

Subject

General Energy

Reference29 articles.

1. Encoding and decoding cyclic data;Adams;South Pac. J. f Nat. Sci.,1998

2. A review of local outlier factor algorithms for outlier detection in big data streams;Alghushairy;Big Data Cogn. Comput.,2021

3. Building energy time series data mining for behavior analytics and forecasting energy consumption;Balachander;KSII Trans. Internet Inf. Syst.,2021

4. Underfitting and overfitting in machine learning;Bilmes,2020

5. Hourly energy consumption prediction of an office building based on ensemble learning and energy consumption pattern classification;Dong;Energy Build,2021

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