Enhancing Indoor Temperature Forecasting through Synthetic Data in Low-Data Regime
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Category
Academic chapter
Language
English
Affiliation
- SINTEF Community / Architecture, Materials and Structures
- SINTEF Digital / Software Engineering, Safety and Security
- SINTEF Manufacturing
- Norwegian University of Science and Technology
Year
2024Publisher
Swedish Artificial Intelligence Society
Book
14th Scandinavian Conference on Artificial Intelligence SCAI 2024, June 10-11, 2024, Jönköping, Sweden
ISBN
9789180757096
Page(s)
29 - 36
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https://hdl.handle.net/11250/3182395View this publication at Norwegian Research Information Repository