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Published at November 1Combining Physics-based and Data-driven Modeling for Building Energy Systems
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Released Date: November 1, 2024
Authors: Leandro Von Krannichfeldt1, Kristina Orehounig2, Olga Fink
Aff.: 1Swiss Federal Institute of Technology Lausanne (EPFL), Route Cantonale, Lausanne, 1015, Switzerland; 2Swiss Federal Laboratories for Materials Science and Technology (Empa), Überlandstrasse 126, Dübendorf, 8600, Switzerland

| Feature group | Feature variables |
| Datetime | Season, week (weekday/weekend), daytime (morning/afternoon/evening/night) |
| Weather | Drybulb & dewpoint temperature, diffuse & diffuse solar radiation, rel. humidity, wind direction & speed |
| Building | Total cooling & heating mass flows, network temperature, air-conditioning mode (cool/heat) |
| Room | Mass flow, temperature setpoint, occupancy, window position (closed/open), blinds position (up/down) |