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cs.LG2024★ 1 cited
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…
physics.soc-ph2024★ 1 cited
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…