Enhancing Indoor Temperature Forecasting through Synthetic Data in Low-Data Regime
Category
Academic article
Language
English
Author(s)
- Massimiliano Ruocco
- Zachari Thiry
- Alessandro Nocente
- Michail Spitieris
Affiliation
- Norwegian University of Science and Technology
- Unknown
- SINTEF Community / Architecture, Materials and Structures
- SINTEF Digital / Software Engineering, Safety and Security
Year
2024Published in
Linköping Electronic Conference Proceedings
ISSN
1650-3686
Publisher
Linköping University Electronic Press