Controller Tuning by Bayesian Optimization An Application to a Heat Pump. - Mohammad Khosravi; Annika Eichler; Nicolas Schmid; Roy S. Smith; Philipp Heer (ECC, 2019)

Machine learning and robust MPC for frequency regulation with heat pumps. - Felix Bünning; Joseph Warrington; Philipp Heer; Roy S. Smith; John Lygeros (CoRR, 2020)

Safe Flexibility in Active Distribution Grids: A Practical Data-Driven Approach. - Stavros Karagiannopoulos; Petros Aristidou; Hanmin Cai; Philipp Heer; Gabriela Hug (ISGT-Europe, 2021)

Input Convex Neural Networks for Building MPC. - Felix Bünning; Adrian Schalbetter; Ahmed Aboudonia; Mathias Hudoba de Badyn; Philipp Heer; John Lygeros (L4DC, 2021)

Data-driven MIMO control of room temperature and bidirectional EV charging using deep reinforcement learning: simulation and experiments. - Bratislav Svetozarevic; Christian Baumann; Simon Muntwiler; Loris Di Natale; Philipp Heer; Melanie N. Zeilinger (CoRR, 2021)

Data-Driven Demand-Side Flexibility Quantification: Prediction and Approximation of Flexibility Envelopes. - Nami Hekmat; Hanmin Cai; Thierry Zufferey; Gabriela Hug; Philipp Heer (CoRR, 2021)

Experimental implementation of an emission-aware prosumer with online flexibility quantification and provision. - Hanmin Cai; Philipp Heer (CoRR, 2021)

Physics-informed linear regression is a competitive approach compared to Machine Learning methods in building MPC. - Felix Bünning; Benjamin Huber; Adrian Schalbetter; Ahmed Aboudonia; Mathias Hudoba de Badyn; Philipp Heer; Roy S. Smith; John Lygeros (CoRR, 2021)

Physically Consistent Neural Networks for building thermal modeling: theory and analysis. - Loris Di Natale; Bratislav Svetozarevic; Philipp Heer; Colin N. Jones (CoRR, 2021)

Near-optimal Deep Reinforcement Learning Policies from Data for Zone Temperature Control. - Loris Di Natale; Bratislav Svetozarevic; Philipp Heer; Colin N. Jones (ICCA, 2022)

Physically Consistent Neural ODEs for Learning Multi-Physics Systems. - Muhammad Zakwan; Loris Di Natale; Bratislav Svetozarevic; Philipp Heer; Colin N. Jones; Giancarlo Ferrari-Trecate (CoRR, 2022)

Efficient Reinforcement Learning (ERL): Targeted Exploration Through Action Saturation. - Loris Di Natale; Bratislav Svetozarevic; Philipp Heer; Colin N. Jones (CoRR, 2022)

Towards Scalable Physically Consistent Neural Networks: an Application to Data-driven Multi-zone Thermal Building Models. - Loris Di Natale; Bratislav Svetozarevic; Philipp Heer; Colin Neil Jones (CoRR, 2022)

Computationally Efficient Reinforcement Learning: Targeted Exploration leveraging Simple Rules. - Loris Di Natale; Bratislav Svetozarevic; Philipp Heer; Colin N. Jones (CDC, 2023)

Uncertainty-Aware Energy Flexibility Quantification of a Residential Building. - Julie Rousseau; Hanmin Cai; Philipp Heer; Kristina Orehounig; Gabriela Hug (ISGT EUROPE, 2023)

An open endpoint and framework for the development of linked data for building energy systems. - James Allan; JongGwan An; Reto Fricker; Sascha Stoller; Philipp Heer (LDAC, 2023)

Designing Fairness in Autonomous Peer-to-peer Energy Trading. - Varsha Behrunani; Andrew Irvine; Giuseppe Belgioioso; Philipp Heer; John Lygeros; Florian Dörfler (CoRR, 2023)

Stochastic MPC for energy hubs using data driven demand forecasting. - Francesco Micheli; Varsha Behrunani; Jonas Mehr; Philipp Heer; John Lygeros (CoRR, 2023)

Distributed Multi-Horizon Model Predictive Control for Network of Energy Hubs. - Varsha Behrunani; Hanmin Cai; Philipp Heer; Roy S. Smith; John Lygeros (CoRR, 2023)

Degradation-aware data-enabled predictive control of energy hubs. - Varsha Behrunani; Marta Zagórowska; Mathias Hudoba de Badyn; Francesco Ricca; Philipp Heer; John Lygeros (CoRR, 2023)

Data-driven adaptive building thermal controller tuning with constraints: A primal-dual contextual Bayesian optimization approach. - Wenjie Xu; Bratislav Svetozarevic; Loris Di Natale; Philipp Heer; Colin N. Jones (CoRR, 2023)

Experimental Validation for Distributed Control of Energy Hubs. - Varsha Behrunani; Philipp Heer; John Lygeros (CoRR, 2023)

A Hierarchical Knowledge Framework for Digital Twins of Buildings and Their Energy Systems (Position Paper). - James Allan; Edrisi Munoz; Sergio Acero González; Hassan Bazazzadeh; Federica Bellizio; Hanmin Cai; Reto Fricker; Philipp Heer; Mina Montazeri; Sascha Stoller; Georgios Mavromatidis (CAiSE Workshops, 2024)

Recursive feasibility guarantees in multi-horizon MPC. - Varsha N. Behrunani; Philipp Heer; Roy S. Smith; John Lygeros (CDC, 2024)

Design of Distribution Tariffs for Energy Hub Networks to Reduce Carbon Emissions. - Varsha Behrunani; Federica Bellizio; Philipp Heer; John Lygeros (ECC, 2024)

Stable Linear Subspace Identification: A Machine Learning Approach. - Loris Di Natale; Muhammad Zakwan; Bratislav Svetozarevic; Philipp Heer; Giancarlo Ferrari-Trecate; Colin N. Jones (ECC, 2024)

The Reliability of Demand-Side Power Flexibility Provision - An Analytical Framework. - Charlotte Jacquet; Hanmin Cai; Arvind Srinivasan 007; Arnab Chatterjee; Giovanni Sansavini; Philipp Heer (ICSRS, 2024)

Quantification of the Flexibility Enhancement with Micro-Scale Multi-Energy Coupling. - Carlo Tajoli; Philipp Heer; Gabriela Hug (ISGT EUROPE, 2024)

Loss-aware Pricing Strategies for Peer-to-Peer Energy Trading. - Varsha N. Behrunani; Philipp Heer; Roy S. Smith; John Lygeros (CoRR, 2025)

SIMBa: System Identification Methods Leveraging Backpropagation. - Loris Di Natale; Muhammad Zakwan; Philipp Heer; Giancarlo Ferrari-Trecate; Colin Neil Jones (IEEE Trans. Control. Syst. Technol., 2025)

Plug and Play Distributed Control of Clustered Energy Hub Networks. - Varsha Behrunani; Cara Koepele; Jared Miller; Ahmed Aboudonia; Philipp Heer; Roy S. Smith; John Lygeros (CoRR, 2025)

Scalable and Efficient Aggregation of Energy-Constrained Flexible Loads. - Julie Rousseau; Philipp Heer; Kristina Orehounig; Gabriela Hug (CoRR, 2025)

Trajectory-Independent Flexibility Envelopes of Energy-Constrained Systems with State-Dependent Losses. - Julie Rousseau; Carlo Tajoli; Hanmin Cai; Philipp Heer; Kristina Orehounig; Gabriela Hug (CoRR, 2025)

Arbitrage Tactics in the Local Markets via Hierarchical Multi-agent Reinforcement Learning. - Haoyang Zhang; Mina Montazeri; Philipp Heer; Koen Kok; Nikolaos G. Paterakis (CoRR, 2025)