1 citations · 2 across the 4 of their papers we have counts for
4 papers
Type Checking Project Haystack Grids using JSON Schema and Pydantic
Thomas Hirsch, Samina Kadkhoda Masoumali, Gerald Schweiger
Ontologies enable scalable energy services in buildings by supporting interoperability and automation. Project Haystack is a building ontology that is widely adopted due to its fle…
Reproducibility of Machine Learning-Based Fault Detection and Diagnosis for HVAC Systems in Buildings: An Empirical Study
Adil Mukhtar, Michael Hadwiger, Franz Wotawa +1
Reproducibility is a cornerstone of scientific research, enabling independent verification and validation of empirical findings. The topic gained prominence in fields such as psych…
Generalizable Temperature Nowcasting with Physics-Constrained RNNs for Predictive Maintenance of Wind Turbine Components
Johannes Exenberger, Matteo Di Salvo, Thomas Hirsch +2
Machine learning plays an important role in the operation of current wind energy production systems. One central application is predictive maintenance to increase efficiency and lo…
Introducing the comfort performance gap in new educational buildings: a case study
Theresa Kohl, Thomas Schranz, Eva Hofmann +2
Providing adequate indoor environmental quality is crucial in educational settings. In this paper, we implemented and tested a framework that collects occupant feedback and investi…