Physics-constrained Deep Learning of Multi-zone Building Thermal Dynamics

11 November 2020

Papers citing "Physics-constrained Deep Learning of Multi-zone Building Thermal Dynamics"

25 / 25 papers shown

Title
Staying Alive: Online Neural Network Maintenance and Systemic Drift Joshua Edward Hammond Tyler Soderstrom Brian A. Korgel Michael Baldea 38 0 0 22 Mar 2025
Feature Engineering Approach to Building Load Prediction: A Case Study for Commercial Building Chiller Plant Optimization in Tropical Weather Zhan Wang Chen Weidong Huang Zhifeng Md Raisul Islam Chua Kian Jon 39 0 0 17 Feb 2025
Robust Calibration of Large Vision-Language Adapters Balamurali Murugesan Julio Silva-Rodríguez Ismail Ben Ayed Jose Dolz OODD VLM 32 6 0 18 Jul 2024
BTS: Building Timeseries Dataset: Empowering Large-Scale Building Analytics Arian Prabowo Xiachong Lin Imran Razzak Hao Xue Emily W. Yap Matthew Amos Flora D. Salim AI4TS AI4CE 29 3 0 13 Jun 2024
Machine Learning in Proton Exchange Membrane Water Electrolysis -- Part I: A Knowledge-Integrated Framework Xia Chen A. Rex Janis Woelke Christoph Eckert B. Bensmann R. Hanke‐Rauschenbach Philipp Geyer 37 0 0 24 Jan 2024
A Distributed ADMM-based Deep Learning Approach for Thermal Control in Multi-Zone Buildings under Demand Response Events Vincent Taboga H. Dagdougui AI4CE 13 1 0 08 Dec 2023
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
Stable Linear Subspace Identification: A Machine Learning Approach L. D. Natale M. Zakwan B. Svetozarevic P. Heer Giancarlo Ferrari-Trecate Colin N. Jones 13 5 0 06 Nov 2023
Equitable Time-Varying Pricing Tariff Design: A Joint Learning and Optimization Approach Liudong Chen Bolun Xu 11 0 0 26 Jul 2023
Pathway toward prior knowledge-integrated machine learning in engineering Xia Chen Philipp Geyer AI4CE 23 4 0 10 Jul 2023
Physics-Informed Machine Learning for Modeling and Control of Dynamical Systems Truong X. Nghiem Ján Drgoňa Colin N. Jones Zoltán Nagy Roland Schwan ... J. Paulson Andrea Carron M. Zeilinger Wenceslao Shaw-Cortez D. Vrabie PINN AI4CE 32 30 0 24 Jun 2023
Hierarchical learning, forecasting coherent spatio-temporal individual and aggregated building loads J. Leprince H. Madsen J. Møller W. Zeiler 22 6 0 30 Jan 2023
Utilizing Domain Knowledge: Robust Machine Learning for Building Energy Prediction with Small, Inconsistent Datasets Xia Chen M. Singh Philipp Geyer 19 3 0 23 Jan 2023
MERLIN: Multi-agent offline and transfer learning for occupant-centric energy flexible operation of grid-interactive communities using smart meter data and CityLearn Kingsley Nweye S. Sankaranarayanan Zoltán Nagy OffRL AI4CE 17 25 0 31 Dec 2022
Towards Scalable Physically Consistent Neural Networks: an Application to Data-driven Multi-zone Thermal Building Models L. D. Natale B. Svetozarevic Philipp Heer Colin N. Jones AI4CE 23 28 0 23 Dec 2022
AutoML for Climate Change: A Call to Action Renbo Tu Nicholas Roberts Vishak Prasad Sibasis Nayak P. Jain Frederic Sala Ganesh Ramakrishnan Ameet Talwalkar W. Neiswanger Colin White 30 6 0 07 Oct 2022
Scalable algorithms for physics-informed neural and graph networks K. Shukla Mengjia Xu N. Trask George Karniadakis PINN AI4CE 67 40 0 16 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
Real-world challenges for multi-agent reinforcement learning in grid-interactive buildings Kingsley Nweye Bo Liu Peter Stone Zoltán Nagy OffRL AI4CE 34 37 0 25 Nov 2021
Physics Informed Neural Networks for Control Oriented Thermal Modeling of Buildings Gargya Gokhale Bert Claessens Chris Develder PINN AI4CE 9 96 0 23 Nov 2021
Constructing Neural Network-Based Models for Simulating Dynamical Systems Christian Møldrup Legaard Thomas Schranz G. Schweiger Ján Drgovna Basak Falay C. Gomes Alexandros Iosifidis M. Abkar P. Larsen PINN AI4CE 28 93 0 02 Nov 2021
Physics-informed linear regression is competitive with two Machine Learning methods in residential building MPC Felix Bünning B. Huber Adrian Schalbetter Ahmed Aboudonia Mathias Hudoba de Badyn Philipp Heer Roy S. Smith John Lygeros AI4CE 14 65 0 29 Oct 2021
Deep Learning Explicit Differentiable Predictive Control Laws for Buildings Ján Drgoňa Aaron Tuor Soumya Vasisht Elliott Skomski D. Vrabie PINN AI4CE 19 27 0 25 Jul 2021
Attentive Neural Processes and Batch Bayesian Optimization for Scalable Calibration of Physics-Informed Digital Twins Ankush Chakrabarty G. Wichern C. Laughman 21 7 0 29 Jun 2021
Learning Stable Models for Prediction and Control Giorgos Mamakoukas Ian Abraham Todd D. Murphey 10 38 0 08 May 2020