| Bidirectional low temperature district energy systems with agent-based control: Performance comparison and operation optimization F Bünning, M Wetter, M Fuchs, D Müller Applied Energy 209, 502-515, 2018 | 221 | 2018 |
| Experimental demonstration of data predictive control for energy optimization and thermal comfort in buildings F Bünning, B Huber, P Heer, A Aboudonia, J Lygeros Energy and Buildings 211, 109792, 2020 | 124 | 2020 |
| Physics-informed linear regression is competitive with two Machine Learning methods in residential building MPC F Bünning, B Huber, A Schalbetter, A Aboudonia, MH de Badyn, P Heer, ... Applied Energy 310, 118491, 2022 | 81 | 2022 |
| Input Convex Neural Networks for Building MPC F Bünning, A Schalbetter, A Aboudonia, MH de Badyn, P Heer, J Lygeros Proceedings of the 3rd Conference on Learning for Dynamics and Control, PMLR …, 2021 | 60 | 2021 |
| Improved day ahead heating demand forecasting by online correction methods F Bünning, P Heer, RS Smith, J Lygeros Energy and Buildings, 109821, 2020 | 58 | 2020 |
| A Modelica library for the agent-based control of building energy systems F Bünning, R Sangi, D Müller Applied energy 193, 52-59, 2017 | 52 | 2017 |
| Distributed model predictive control of buildings and energy hubs N Lefebure, M Khosravi, MH de Badyn, F Bünning, J Lygeros, C Jones, ... Energy and Buildings 259, 111806, 2022 | 44 | 2022 |
| Robust MPC with data-driven demand forecasting for frequency regulation with heat pumps F Bünning, J Warrington, P Heer, RS Smith, J Lygeros Control Engineering Practice 122, 105101, 2022 | 34* | 2022 |
| Towards a DESTEST: a District Energy Simulation Test Developed in IBPSA Project 1 D Saelens, I De Jaeger, F Bünning, M Mans, A Vandermeulen, ... Proceedings of the 16th IBPSA Conference, 2019 | 19 | 2019 |
| A platform for the agent-based control of HVAC systems R Sangi, F Bünning, J Fütterer, D Müller | 19 | 2017 |
| Increasing electrical reserve provision in districts by exploiting energy flexibility of buildings with robust model predictive control F Bünning, P Heer, RS Smith, J Lygeros Advances in Applied Energy 10, 100130, 2023 | 14 | 2023 |
| Frequency regulation with heat pumps using robust MPC with affine policies F Bünning, J Warrington, P Heer, RS Smith, J Lygeros IFAC-PapersOnLine 53 (2), 13210-13215, 2020 | 11 | 2020 |
| Benchmarking of data predictive control in a real-life apartment during heating season B Huber, F Bünning, A Decoussemaeker, P Heer, A Aboudonia, J Lygeros Journal of Physics: Conference Series 2042 (1), 012024, 2021 | 6 | 2021 |
| Comparing Machine Learning based Methods to standard Regression Methods for MPC on a virtual Testbed F Bünning, C Pfister, A Aboudonia, P Heer, J Lygeros Building Simulation Conference 2021, 30346, 2021 | 6 | 2021 |
| Sensitivity analysis of data-driven building energy demand forecasts F Bünning, P Heer, RS Smith, J Lygeros Journal of Physics: Conference Series 1343 (1), 012062, 2019 | 5 | 2019 |
| Marrying Machine Learning and Model Predictive Control for efficient Building Energy Management F Bünning ETH Zurich, 2021 | 2 | 2021 |
| Comprehensive energy demand and usage data for building automation P Heer, C Derungs, B Huber, F Bünning, R Fricker, S Stoller, B Niesen Scientific Data 11 (1), 469, 2024 | 1 | 2024 |
| Empirical validation of a data-driven heating demand simulation with error correction methods F Bünning, A Bollinger, P Heer, RS Smith, J Lygeros Proceedings of the 16th IBPSA Conference, 2019 | 1 | 2019 |
| 30% Energie sparen-mit vorausschauender Regelung F Bünning Transforming cities 9 (1), 72-74, 2024 | | 2024 |
John LygerosProf. of Computation and Control, ETH ZurichVerified email at ethz.ch
