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"

5 / 5 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 18 6 0 06 Dec 2023
Near-optimal Deep Reinforcement Learning Policies from Data for Zone Temperature Control L. D. Natale B. Svetozarevic Philipp Heer Colin N. Jones OffRL AI4CE 19 6 0 10 Mar 2022
Neural Networks with Physics-Informed Architectures and Constraints for Dynamical Systems Modeling Franck Djeumou Cyrus Neary Eric Goubault S. Putot Ufuk Topcu PINN AI4CE 34 68 0 14 Sep 2021
On Translation Invariance in CNNs: Convolutional Layers can Exploit Absolute Spatial Location O. Kayhan J. C. V. Gemert 209 232 0 16 Mar 2020
Physics-Guided Deep Neural Networks for Power Flow Analysis Xinyue Hu Haoji Hu Saurabh Verma Zhi-Li Zhang 118 123 0 31 Jan 2020