Publications

Covariates Are the Key to Accurate Probabilistic Building Energy Forecasting with Time Series Foundation Models
Kreusel, A.; Hertel, M.; Noskiewicz, M.; Zahn, F.; Maaß, H.; Mikut, R.; Hagenmeyer, V.
2026. Proceedings of the 2026 ACM Sustainability Week, 172–182, Association for Computing Machinery (ACM). doi:10.1145/3765611.3815507

Real World Short Term District Heating Load Forecasting A Machine Learning Benchmark Against an Operational Utility Model
Beichter, M.; Turowski, M.; Döring, A.; Kreusel, A.; Friederich, N.; Waczowicz, S.; Ordiano, J. Á. G.; Iser, A.; Hitzel, J.; Weschenfelder, R.; Rink, M.; Hagenmeyer, V.; Mikut, R.
2026. Proceedings. 36. Workshop Computational Intelligence : Berlin, 19. – 20. November 2026. Ed.: H. Schulte, 17–49, KIT Scientific Publishing

Evaluating Time-Series Foundation Models for Cooling Demand Forecasting with Little Data
Kreusel, A.; Hertel, M.; Noskiewicz, M.; Maaß, H.; Mikut, R.; Hagenmeyer, V.
2025. Proceedings 35. Workshop Computational Intelligence : Berlin, 20. - 21. November 2025, 301–322, Karlsruher Institut für Technologie (KIT)