| Physically consistent neural networks for building thermal modeling: theory and analysis L Di Natale, B Svetozarevic, P Heer, CN Jones Applied Energy 325, 119806, 2022 | 57 | 2022 |
| Data-driven control of room temperature and bidirectional EV charging using deep reinforcement learning: Simulations and experiments B Svetozarevic, C Baumann, S Muntwiler, L Di Natale, MN Zeilinger, ... Applied Energy 307, 118127, 2022 | 29 | 2022 |
| The Potential of Vehicle-to-Grid to Support the Energy Transition: A Case Study on Switzerland L Di Natale, L Funk, M Rüdisüli, B Svetozarevic, G Pareschi, P Heer, ... Energies 14 (16), 4812, 2021 | 16 | 2021 |
| Lessons Learned from Data-Driven Building Control Experiments: Contrasting Gaussian Process-based MPC, Bilevel DeePC, and Deep Reinforcement Learning L Di Natale, Y Lian, ET Maddalena, J Shi, CN Jones 2022 IEEE 61st Conference on Decision and Control (CDC), 1111-1117, 2022 | 12 | 2022 |
| Towards scalable physically consistent neural networks: An application to data-driven multi-zone thermal building models L Di Natale, B Svetozarevic, P Heer, CN Jones Applied Energy 340, 121071, 2023 | 10 | 2023 |
| Physically consistent neural ODEs for learning multi-physics systems M Zakwan, L Di Natale, B Svetozarevic, P Heer, CN Jones, GF Trecate IFAC-PapersOnLine 56 (2), 5855-5860, 2023 | 9 | 2023 |
| Deep Reinforcement Learning for room temperature control: a black-box pipeline from data to policies L Di Natale, B Svetozarevic, P Heer, CN Jones Journal of Physics: Conference Series 2042 (1), 012004, 2021 | 6 | 2021 |
| Near-optimal deep reinforcement learning policies from data for zone temperature control L Di Natale, B Svetozarevic, P Heer, CN Jones 2022 IEEE 17th International Conference on Control & Automation (ICCA), 698-703, 2022 | 5 | 2022 |
| Data-driven adaptive building thermal controller tuning with constraints: A primal–dual contextual Bayesian optimization approach W Xu, B Svetozarevic, L Di Natale, P Heer, CN Jones Applied Energy 358, 122493, 2024 | 2 | 2024 |
| SIMBa: System Identification Methods leveraging Backpropagation L Di Natale, M Zakwan, P Heer, GF Trecate, CN Jones arXiv preprint arXiv:2311.13889, 2023 | 2 | 2023 |
| Stable Linear Subspace Identification: A Machine Learning Approach L Di Natale, M Zakwan, B Svetozarevic, P Heer, GF Trecate, CN Jones arXiv preprint arXiv:2311.03197, 2023 | 2 | 2023 |
| Computationally Efficient Reinforcement Learning: Targeted Exploration leveraging Simple Rules L Di Natale, B Svetozarevic, P Heer, CN Jones 2023 62nd IEEE Conference on Decision and Control (CDC), 2334-2339, 2023 | 1 | 2023 |
| Fusing Pre-existing Knowledge and Machine Learning for Enhanced Building Thermal Modeling and Control L Di Natale EPFL, 2024 | | 2024 |
Philipp HeerEmpaVerified email at empa.ch
