Philipp Heer

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 29

Top Topics

Reinforcement Learning

Top Venues

Publications

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)
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)
Varsha Behrunani, Federica Bellizio, Philipp Heer, John Lygeros
Design of Distribution Tariffs for Energy Hub Networks to Reduce Carbon Emissions. ECC (2024)
Varsha Behrunani, Philipp Heer, John Lygeros
Experimental Validation for Distributed Control of Energy Hubs. CoRR (2023)
Francesco Micheli, Varsha Behrunani, Jonas Mehr, Philipp Heer, John Lygeros
Stochastic MPC for energy hubs using data driven demand forecasting. CoRR (2023)
Loris Di Natale, Bratislav Svetozarevic, Philipp Heer, Colin N. Jones
Computationally Efficient Reinforcement Learning: Targeted Exploration leveraging Simple Rules. CDC (2023)
Loris Di Natale, Muhammad Zakwan, Bratislav Svetozarevic, Philipp Heer, Giancarlo Ferrari-Trecate, Colin N. Jones
Stable Linear Subspace Identification: A Machine Learning Approach. CoRR (2023)
Loris Di Natale, Muhammad Zakwan, Philipp Heer, Giancarlo Ferrari-Trecate, Colin N. Jones
SIMBa: System Identification Methods leveraging Backpropagation. CoRR (2023)
Varsha Behrunani, Hanmin Cai, Philipp Heer, Roy S. Smith, John Lygeros
Distributed Multi-Horizon Model Predictive Control for Network of Energy Hubs. CoRR (2023)
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 (2023)
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)
Varsha Behrunani, Marta Zagórowska, Mathias Hudoba de Badyn, Francesco Ricca, Philipp Heer, John Lygeros
Degradation-aware data-enabled predictive control of energy hubs. CoRR (2023)
Varsha Behrunani, Andrew Irvine, Giuseppe Belgioioso, Philipp Heer, John Lygeros, Florian Dörfler
Designing Fairness in Autonomous Peer-to-peer Energy Trading. CoRR (2023)
Julie Rousseau, Hanmin Cai, Philipp Heer, Kristina Orehounig, Gabriela Hug
Uncertainty-Aware Energy Flexibility Quantification of a Residential Building. ISGT EUROPE (2023)
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 (2022)
Loris Di Natale, Bratislav Svetozarevic, Philipp Heer, Colin N. Jones
Efficient Reinforcement Learning (ERL): Targeted Exploration Through Action Saturation. CoRR (2022)
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 (2022)
Loris Di Natale, Bratislav Svetozarevic, Philipp Heer, Colin N. Jones
Near-optimal Deep Reinforcement Learning Policies from Data for Zone Temperature Control. ICCA (2022)
Loris Di Natale, Bratislav Svetozarevic, Philipp Heer, Colin N. Jones
Near-optimal Deep Reinforcement Learning Policies from Data for Zone Temperature Control. CoRR (2022)
B. Svetozarevic, C. 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 (2021)
Loris Di Natale, Bratislav Svetozarevic, Philipp Heer, Colin N. Jones
Physically Consistent Neural Networks for building thermal modeling: theory and analysis. CoRR (2021)
Hanmin Cai, Philipp Heer
Experimental implementation of an emission-aware prosumer with online flexibility quantification and provision. CoRR (2021)
Stavros Karagiannopoulos, Petros Aristidou, Hanmin Cai, Philipp Heer, Gabriela Hug
Safe Flexibility in Active Distribution Grids: A Practical Data-Driven Approach. ISGT-Europe (2021)
Felix Bünning, Adrian Schalbetter, Ahmed Aboudonia, Mathias Hudoba de Badyn, Philipp Heer, John Lygeros
Input Convex Neural Networks for Building MPC. L4DC (2021)
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 (2021)
Nami Hekmat, Hanmin Cai, Thierry Zufferey, Gabriela Hug, Philipp Heer
Data-Driven Demand-Side Flexibility Quantification: Prediction and Approximation of Flexibility Envelopes. CoRR (2021)
Felix Bünning, Adrian Schalbetter, Ahmed Aboudonia, Mathias Hudoba de Badyn, Philipp Heer, John Lygeros
Input Convex Neural Networks for Building MPC. CoRR (2020)
Felix Bünning, Joseph Warrington, Philipp Heer, Roy S. Smith, John Lygeros
Machine learning and robust MPC for frequency regulation with heat pumps. CoRR (2020)
Mohammad Khosravi, Annika Eichler, Nicolas Schmid, Roy S. Smith, Philipp Heer
Controller Tuning by Bayesian Optimization An Application to a Heat Pump. ECC (2019)