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ORCIDPhilipp Heer
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2020 – today
- 2024
[c10]James Allan, Edrisi Munoz, Sergio Acero González, Hassan Bazazzadeh, Federica Bellizio, Hanmin Cai, Reto Fricker, Philipp Heer, Mina Montazeri, Sascha Stoller, Georgios Mavromatidis:
A Hierarchical Knowledge Framework for Digital Twins of Buildings and Their Energy Systems (Position Paper). CAiSE Workshops 2024: 53-58- [c9]Varsha Behrunani, Federica Bellizio, Philipp Heer, John Lygeros:
Design of Distribution Tariffs for Energy Hub Networks to Reduce Carbon Emissions. ECC 2024: 1534-1539 - [c8]Loris Di Natale, Muhammad Zakwan, Bratislav Svetozarevic, Philipp Heer, Giancarlo Ferrari-Trecate, Colin N. Jones:
Stable Linear Subspace Identification: A Machine Learning Approach. ECC 2024: 3539-3544 - 2023
- [c7]Loris Di Natale, Bratislav Svetozarevic, Philipp Heer, Colin N. Jones:
Computationally Efficient Reinforcement Learning: Targeted Exploration leveraging Simple Rules. CDC 2023: 2334-2339 - [c6]Julie Rousseau, Hanmin Cai, Philipp Heer, Kristina Orehounig, Gabriela Hug:
Uncertainty-Aware Energy Flexibility Quantification of a Residential Building. ISGT EUROPE 2023: 1-6 - [c5]James Allan, JongGwan An, Reto Fricker, Sascha Stoller, Philipp Heer:
An open endpoint and framework for the development of linked data for building energy systems. LDAC 2023: 240 - [i19]Varsha Behrunani, Andrew Irvine, Giuseppe Belgioioso, Philipp Heer, John Lygeros, Florian Dörfler:
Designing Fairness in Autonomous Peer-to-peer Energy Trading. CoRR abs/2302.04771 (2023) - [i18]Francesco Micheli, Varsha Behrunani, Jonas Mehr, Philipp Heer, John Lygeros:
Stochastic MPC for energy hubs using data driven demand forecasting. CoRR abs/2304.12438 (2023) - [i17]Varsha Behrunani, Hanmin Cai, Philipp Heer, Roy S. Smith, John Lygeros:
Distributed Multi-Horizon Model Predictive Control for Network of Energy Hubs. CoRR abs/2304.14089 (2023) - [i16]Varsha Behrunani, Marta Zagórowska, Mathias Hudoba de Badyn, Francesco Ricca, Philipp Heer, John Lygeros:
Degradation-aware data-enabled predictive control of energy hubs. CoRR abs/2307.01543 (2023) - [i15]Wenjie Xu, Bratislav Svetozarevic, Loris Di Natale, Philipp Heer, Colin N. Jones:
Data-driven adaptive building thermal controller tuning with constraints: A primal-dual contextual Bayesian optimization approach. CoRR abs/2310.00758 (2023) - [i14]Varsha Behrunani, Philipp Heer, John Lygeros:
Experimental Validation for Distributed Control of Energy Hubs. CoRR abs/2310.18037 (2023) - [i13]Loris Di Natale, Muhammad Zakwan, Bratislav Svetozarevic, Philipp Heer, Giancarlo Ferrari-Trecate, Colin N. Jones:
Stable Linear Subspace Identification: A Machine Learning Approach. CoRR abs/2311.03197 (2023) - [i12]Loris Di Natale, Muhammad Zakwan, Philipp Heer, Giancarlo Ferrari-Trecate, Colin N. Jones:
SIMBa: System Identification Methods leveraging Backpropagation. CoRR abs/2311.13889 (2023) - 2022
- [c4]Loris Di Natale, Bratislav Svetozarevic, Philipp Heer, Colin N. Jones:
Near-optimal Deep Reinforcement Learning Policies from Data for Zone Temperature Control. ICCA 2022: 698-703 - [i11]Loris Di Natale, Bratislav Svetozarevic, Philipp Heer, Colin N. Jones:
Near-optimal Deep Reinforcement Learning Policies from Data for Zone Temperature Control. CoRR abs/2203.05434 (2022) - [i10]Muhammad Zakwan, Loris Di Natale, Bratislav Svetozarevic, Philipp Heer, Colin N. Jones, Giancarlo Ferrari-Trecate:
Physically Consistent Neural ODEs for Learning Multi-Physics Systems. CoRR abs/2211.06130 (2022) - [i9]Loris Di Natale, Bratislav Svetozarevic, Philipp Heer, Colin N. Jones:
Efficient Reinforcement Learning (ERL): Targeted Exploration Through Action Saturation. CoRR abs/2211.16691 (2022) - [i8]Loris Di Natale, Bratislav Svetozarevic, Philipp Heer, Colin Neil Jones:
Towards Scalable Physically Consistent Neural Networks: an Application to Data-driven Multi-zone Thermal Building Models. CoRR abs/2212.12380 (2022) - 2021
- [c3]Stavros Karagiannopoulos, Petros Aristidou, Hanmin Cai, Philipp Heer, Gabriela Hug:
Safe Flexibility in Active Distribution Grids: A Practical Data-Driven Approach. ISGT-Europe 2021: 1-6 - [c2]Felix Bünning, Adrian Schalbetter, Ahmed Aboudonia, Mathias Hudoba de Badyn, Philipp Heer, John Lygeros:
Input Convex Neural Networks for Building MPC. L4DC 2021: 251-262 - [i7]Bratislav Svetozarevic, Christian Baumann, Simon Muntwiler, Loris Di Natale, Philipp Heer
, Melanie N. Zeilinger:
Data-driven MIMO control of room temperature and bidirectional EV charging using deep reinforcement learning: simulation and experiments. CoRR abs/2103.01886 (2021) - [i6]Nami Hekmat, Hanmin Cai, Thierry Zufferey, Gabriela Hug, Philipp Heer:
Data-Driven Demand-Side Flexibility Quantification: Prediction and Approximation of Flexibility Envelopes. CoRR abs/2110.12796 (2021) - [i5]Hanmin Cai, Philipp Heer:
Experimental implementation of an emission-aware prosumer with online flexibility quantification and provision. CoRR abs/2110.12831 (2021) - [i4]Felix Bünning, Benjamin Huber, Adrian Schalbetter, Ahmed Aboudonia, Mathias Hudoba de Badyn, Philipp Heer, Roy S. Smith, John Lygeros:
Physics-informed linear regression is a competitive approach compared to Machine Learning methods in building MPC. CoRR abs/2110.15911 (2021) - [i3]Loris Di Natale, Bratislav Svetozarevic, Philipp Heer, Colin N. Jones:
Physically Consistent Neural Networks for building thermal modeling: theory and analysis. CoRR abs/2112.03212 (2021) - 2020
- [i2]Felix Bünning, Joseph Warrington, Philipp Heer, Roy S. Smith, John Lygeros:
Machine learning and robust MPC for frequency regulation with heat pumps. CoRR abs/2009.06920 (2020) - [i1]Felix Bünning, Adrian Schalbetter, Ahmed Aboudonia, Mathias Hudoba de Badyn, Philipp Heer, John Lygeros:
Input Convex Neural Networks for Building MPC. CoRR abs/2011.13227 (2020)
2010 – 2019
- 2019
- [c1]Mohammad Khosravi, Annika Eichler, Nicolas Schmid, Roy S. Smith, Philipp Heer:
Controller Tuning by Bayesian Optimization An Application to a Heat Pump. ECC 2019: 1467-1472
Coauthor Index
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