orholm-prediction-demo: Prediction of the indoor climate in cultural heritage buildings through machine learning: first results from two field tests

Christian Boesgaard (Producent), Birgit Vinther Hansen (Producent), Ulla Bøgvad Kejser (Producent), Søren Mollerup (Producent), Morten Ryhl-Svendsen (Producent), Noah Torp-Smith (Producent)

Institut for Konservering
Resilient Heritage Conservation
Det Kongelige Akademi - Arkitektur, Design, Konservering

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2022

Prediction of the indoor climate in cultural heritage buildings through machine learning: first results from two field tests
Boesgaard, C., Vinther Hansen, B., Bøgvad Kejser, U., Mollerup, S., Ryhl-Svendsen, M. & Torp-Smith, N., 2022, I: Heritage Science. 10, 12 s., 176.
Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › peer review

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orholm-prediction-demo: Prediction of the indoor climate in cultural heritage buildings through machine learning: first results from two field tests

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Prediction of the indoor climate in cultural heritage buildings through machine learning: first results from two field tests