Physically Consistent Neural Networks for building thermal modeling: theory and analysis

6 December 2021

Papers citing "Physically Consistent Neural Networks for building thermal modeling: theory and analysis"

4 / 4 papers shown

Title
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 11 6 0 06 Dec 2023
Neural Networks with Physics-Informed Architectures and Constraints for Dynamical Systems Modeling Franck Djeumou Cyrus Neary Eric Goubault S. Putot Ufuk Topcu PINN AI4CE 32 67 0 14 Sep 2021
On Translation Invariance in CNNs: Convolutional Layers can Exploit Absolute Spatial Location O. Kayhan J. C. V. Gemert 187 231 0 16 Mar 2020
Physics-Guided Deep Neural Networks for Power Flow Analysis Xinyue Hu Haoji Hu Saurabh Verma Zhi-Li Zhang 113 120 0 31 Jan 2020