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 | 118 | 2020 |
Physically Consistent Neural Networks for building thermal modeling: theory and analysis L Di Natale, B Svetozarevic, P Heer, J Colin N. arXiv, 2021 | 92 | 2021 |
Benchmarking cooling and heating energy demands considering climate change, population growth and cooling device uptake R Mutschler, M Rüdisüli, P Heer, S Eggimann Applied Energy 288, 116636, 2021 | 91 | 2021 |
Predictive energy management of residential buildings while self-reporting flexibility envelope J Gasser, H Cai, S Karagiannopoulos, P Heer, G Hug Applied Energy 288, 116653, 2021 | 75 | 2021 |
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 | 68 | 2022 |
Input convex neural networks for building MPC F Bünning, A Schalbetter, A Aboudonia, MH de Badyn, P Heer, J Lygeros Learning for Dynamics and Control, 251-262, 2021 | 59 | 2021 |
Improved day ahead heating demand forecasting by online correction methods F Bünning, P Heer, RS Smith, J Lygeros Energy and Buildings 211, 109821, 2020 | 57 | 2020 |
NEST-A platform for the acceleration of innovation in buildings P Richner, P Heer, R Largo, E Marchesi, M Zimmermann Informes de la Construccion 69 (548), e222, 2017 | 39 | 2017 |
Controller tuning by Bayesian optimization an application to a heat pump M Khosravi, A Eichler, N Schmid, RS Smith, P Heer 2019 18th European Control Conference (ECC), 1467-1472, 2019 | 38 | 2019 |
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 | 37 | 2022 |
Design optimization of a district heating and cooling system with a borehole seasonal thermal energy storage M Fiorentini, P Heer, L Baldini Energy 262, 125464, 2023 | 33 | 2023 |
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 | 26 | 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 | 23 | 2021 |
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 | 22 | 2023 |
NEST–una plataforma para acelerar la innovación en edificios P Richner, P Heer, R Largo, E Marchesi, M Zimmermann Informes de la Construcción 69 (548), e222-e222, 2017 | 20 | 2017 |
Impact of forecast uncertainty and electricity markets on the flexibility provision and economic performance of highly-decarbonized multi-energy systems A Srinivasan, R Wu, P Heer, G Sansavini Applied Energy 338, 120825, 2023 | 18 | 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 | 18 | 2023 |
Experimental implementation of an emission-aware prosumer with online flexibility quantification and provision H Cai, P Heer Sustainable Cities and Society 111, 105531, 2024 | 14 | 2024 |
Calculating the heat loss coefficients for performance modelling of seasonal ice thermal storage J Allan, L Croce, R Dott, G Georges, P Heer Journal of Energy Storage 52, 104528, 2022 | 14 | 2022 |
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 | 13 | 2023 |