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

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

Institute of Conservation
Resilient Heritage Conservation
Royal Danish Academy - Architecture, Design, Conservation

Publications: Non-textual form › Dataset › Research › peer-review

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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, In: Heritage Science. 10, 12 p., 176.
Publications: Contribution to journal › Journal article › Research › 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