Fifty shades of black: Uncovering physical models from symbolic regressions for scalable building heat dynamics identification

10.1145/3486611.3491120

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Bibliographic Details
Main Authors: Leprince, J, Miller, C, Frei, M, Madsen, H, Zeiler, W
Other Authors: THE BUILT ENVIRONMENT
Format: Conference or Workshop Item
Published: ACM 2022
Online Access:https://scholarbank.nus.edu.sg/handle/10635/229340
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Institution: National University of Singapore
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spelling sg-nus-scholar.10635-2293402023-10-31T08:34:32Z Fifty shades of black: Uncovering physical models from symbolic regressions for scalable building heat dynamics identification Leprince, J Miller, C Frei, M Madsen, H Zeiler, W THE BUILT ENVIRONMENT 10.1145/3486611.3491120 BuildSys '21: The 8th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation 345-348 2022-07-28T05:09:39Z 2022-07-28T05:09:39Z 2021-11-17 2022-07-19T00:44:54Z Conference Paper Leprince, J, Miller, C, Frei, M, Madsen, H, Zeiler, W (2021-11-17). Fifty shades of black: Uncovering physical models from symbolic regressions for scalable building heat dynamics identification. BuildSys '21: The 8th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation : 345-348. ScholarBank@NUS Repository. https://doi.org/10.1145/3486611.3491120 9781450391146 https://scholarbank.nus.edu.sg/handle/10635/229340 ACM Elements
institution National University of Singapore
building NUS Library
continent Asia
country Singapore
Singapore
content_provider NUS Library
collection ScholarBank@NUS
description 10.1145/3486611.3491120
author2 THE BUILT ENVIRONMENT
author_facet THE BUILT ENVIRONMENT
Leprince, J
Miller, C
Frei, M
Madsen, H
Zeiler, W
format Conference or Workshop Item
author Leprince, J
Miller, C
Frei, M
Madsen, H
Zeiler, W
spellingShingle Leprince, J
Miller, C
Frei, M
Madsen, H
Zeiler, W
Fifty shades of black: Uncovering physical models from symbolic regressions for scalable building heat dynamics identification
author_sort Leprince, J
title Fifty shades of black: Uncovering physical models from symbolic regressions for scalable building heat dynamics identification
title_short Fifty shades of black: Uncovering physical models from symbolic regressions for scalable building heat dynamics identification
title_full Fifty shades of black: Uncovering physical models from symbolic regressions for scalable building heat dynamics identification
title_fullStr Fifty shades of black: Uncovering physical models from symbolic regressions for scalable building heat dynamics identification
title_full_unstemmed Fifty shades of black: Uncovering physical models from symbolic regressions for scalable building heat dynamics identification
title_sort fifty shades of black: uncovering physical models from symbolic regressions for scalable building heat dynamics identification
publisher ACM
publishDate 2022
url https://scholarbank.nus.edu.sg/handle/10635/229340
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