Philipp Heer
Philipp Heer
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Cited by
Cited by
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
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
Physically Consistent Neural Networks for building thermal modeling: theory and analysis
L Di Natale, B Svetozarevic, P Heer, J Colin N.
arXiv, 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
Improved day ahead heating demand forecasting by online correction methods
F Bünning, P Heer, RS Smith, J Lygeros
Energy and Buildings 211, 109821, 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
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
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
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
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
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
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
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
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
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
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
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
Experimental implementation of an emission-aware prosumer with online flexibility quantification and provision
H Cai, P Heer
Sustainable Cities and Society 111, 105531, 2024
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
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
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