Physics Informed Neural Networks for Control Oriented Thermal Modeling of Buildings

23 November 2021

Papers citing "Physics Informed Neural Networks for Control Oriented Thermal Modeling of Buildings"

5 / 5 papers shown

Title
Generalizable Temperature Nowcasting with Physics-Constrained RNNs for Predictive Maintenance of Wind Turbine Components Johannes Exenberger Matteo Di Salvo Thomas Hirsch F. Wotawa Gerald Schweiger AI4CE 21 0 0 05 Apr 2024
Distill2Explain: Differentiable decision trees for explainable reinforcement learning in energy application controllers Gargya Gokhale Seyed soroush Karimi madahi Bert Claessens Chris Develder OffRL 23 2 0 18 Mar 2024
Demand response for residential building heating: Effective Monte Carlo Tree Search control based on physics-informed neural networks Fabio Pavirani Gargya Gokhale Bert Claessens Chris Develder AI4CE 20 6 0 06 Dec 2023
Physics-informed neural networks for PDE-constrained optimization and control Jostein Barry-Straume A. Sarshar Andrey A. Popov Adrian Sandu PINN AI4CE 29 14 0 06 May 2022
Physically Consistent Neural Networks for building thermal modeling: theory and analysis L. D. Natale B. Svetozarevic Philipp Heer Colin N. Jones PINN AI4CE 57 84 0 06 Dec 2021