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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

2024

Publisher

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

View this publication at Norwegian Research Information Repository