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Enhancing building energy efficiency using a random forest model: A hybrid prediction approach
Author(s):
Yang Liu
,
Hongyu Chen
,
Limao Zhang
,
Zongbao Feng
Publication date
Created:
November 2021
Publication date
(Print):
November 2021
Journal:
Energy Reports
Publisher:
Elsevier BV
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Genome Engineering using CRISPR
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A review on the prediction of building energy consumption
Frèdèric Magoulés
,
Hai-xiang Zhao
(2012)
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Random Forest based hourly building energy prediction
Zeyu Wang
,
Ravi Srinivasan
,
Ruochen Zeng
…
(2018)
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A review of performance of zero energy buildings and energy efficiency solutions
Lorenzo Belussi
,
Benedetta Barozzi
,
Alice Bellazzi
…
(2019)
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Author and article information
Contributors
Yang Liu:
(View ORCID Profile)
Journal
Title:
Energy Reports
Abbreviated Title:
Energy Reports
Publisher:
Elsevier BV
ISSN (Print):
23524847
Publication date Created:
November 2021
Publication date (Print):
November 2021
Volume
: 7
Pages
: 5003-5012
Article
DOI:
10.1016/j.egyr.2021.07.135
SO-VID:
497c0667-65b9-410d-9c78-c5015e4acc7e
Copyright ©
© 2021
License:
https://www.elsevier.com/tdm/userlicense/1.0/
http://creativecommons.org/licenses/by-nc-nd/4.0/
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