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Energy and Buildings

Article . 2023 . Peer-reviewed

License: Elsevier TDM

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Dilated causal convolutional neural networks for forecasting zone airflow to estimate short-term energy consumption

descriptionPublicationkeyboard_double_arrow_right Article 01 May 2023Publisher:Elsevier BVJournal:Energy and Buildings, volume 286, page 112,890 (issn: 0378-7788,

Authors: Joseph Tully; Ryan Haight; Brian Hutchinson; Sen Huang; Joon-Yong Lee; Srinivas Katipamula;

doi: 10.1016/j.enbuild.2023.112890

Dilated causal convolutional neural networks for forecasting zone airflow to estimate short-term energy consumption

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Pacific Northwest National Laboratory
United States
Eastern Washington University
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Eastern Washington University
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Pacific Northwest National Laboratory
United States

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	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	4
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Top 10%
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
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Top 10%

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Fields of Science

engineering and technology

electrical engineering, electronic engineering, information engineering

Fields of Science

engineering and technology

electrical engineering, electronic engineering, information engineering

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Energy Research