Philipp Heer - RankMe

42 papers Journal 28Unranked 14

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Trajectory-Independent Flexibility Envelopes of Energy-Constrained Systems With State-Dependent Losses. IEEE Trans. Smart Grid Julie Rousseau, Carlo Tajoli, Hanmin Cai, Philipp Heer, Kristina Orehounig, Gabriela Hug
2026	J	`jnl`	Uncertainty-Aware Flexibility of HVAC Systems in Buildings: From Quantification to Provision. IEEE Trans. Smart Grid Julie Rousseau, Hanmin Cai, Philipp Heer, Kristina Orehounig, Gabriela Hug
2025	J	`jnl`	Arbitrage Tactics in the Local Markets via Hierarchical Multi-agent Reinforcement Learning. CoRR Haoyang Zhang, Mina Montazeri, Philipp Heer, Koen Kok, Nikolaos G. Paterakis
2025	J	`jnl`	Loss-aware Pricing Strategies for Peer-to-Peer Energy Trading. CoRR Varsha N. Behrunani, Philipp Heer, Roy S. Smith, John Lygeros
2025	J	`jnl`	Plug and Play Distributed Control of Clustered Energy Hub Networks. CoRR Varsha Behrunani, Cara Koepele, Jared Miller, Ahmed Aboudonia, Philipp Heer, Roy S. Smith, John Lygeros
2025	J	`jnl`	SIMBa: System Identification Methods Leveraging Backpropagation. IEEE Trans. Control. Syst. Technol. Loris Di Natale, Muhammad Zakwan, Philipp Heer, Giancarlo Ferrari-Trecate, Colin Neil Jones
2025	J	`jnl`	Scalable and Efficient Aggregation of Energy-Constrained Flexible Loads. CoRR Julie Rousseau, Philipp Heer, Kristina Orehounig, Gabriela Hug
2025	J	`jnl`	Trajectory-Independent Flexibility Envelopes of Energy-Constrained Systems with State-Dependent Losses. CoRR Julie Rousseau, Carlo Tajoli, Hanmin Cai, Philipp Heer, Kristina Orehounig, Gabriela Hug
2025	—	`conf`	Transfer Learning for Thermal Building Modeling. CCTA Anuram Varathan, Carl Remlinger, Mina Montazeri, Philipp Heer
2025	J	`jnl`	Uncertainty-Aware Flexibility of Buildings: From Quantification to Provision. CoRR Julie Rousseau, Hanmin Cai, Philipp Heer, Kristina Orehounig, Gabriela Hug
2024	—	`conf`	A Hierarchical Knowledge Framework for Digital Twins of Buildings and Their Energy Systems (Position Paper). CAiSE Workshops James Allan, Edrisi Munoz, Sergio Acero González, Hassan Bazazzadeh, Federica Bellizio, Hanmin Cai, Reto Fricker, Philipp Heer, Mina Montazeri, Sascha Stoller, Georgios Mavromatidis
2024	—	`conf`	Design of Distribution Tariffs for Energy Hub Networks to Reduce Carbon Emissions. ECC Varsha Behrunani, Federica Bellizio, Philipp Heer, John Lygeros
2024	—	`conf`	Quantification of the Flexibility Enhancement with Micro-Scale Multi-Energy Coupling. ISGT EUROPE Carlo Tajoli, Philipp Heer, Gabriela Hug
2024	—	`conf`	Recursive feasibility guarantees in multi-horizon MPC. CDC Varsha N. Behrunani, Philipp Heer, Roy S. Smith, John Lygeros
2024	—	`conf`	Stable Linear Subspace Identification: A Machine Learning Approach. ECC Loris Di Natale, Muhammad Zakwan, Bratislav Svetozarevic, Philipp Heer, Giancarlo Ferrari-Trecate, Colin N. Jones
2024	—	`conf`	The Reliability of Demand-Side Power Flexibility Provision - An Analytical Framework. ICSRS Charlotte Jacquet, Hanmin Cai, Arvind Srinivasan, Arnab Chatterjee, Giovanni Sansavini, Philipp Heer
2023	—	`conf`	An open endpoint and framework for the development of linked data for building energy systems. LDAC James Allan, Jonggwan An, Reto Fricker, Sascha Stoller, Philipp Heer
2023	—	`conf`	Computationally Efficient Reinforcement Learning: Targeted Exploration leveraging Simple Rules. CDC Loris Di Natale, Bratislav Svetozarevic, Philipp Heer, Colin N. Jones
2023	J	`jnl`	Data-driven adaptive building thermal controller tuning with constraints: A primal-dual contextual Bayesian optimization approach. CoRR Wenjie Xu, Bratislav Svetozarevic, Loris Di Natale, Philipp Heer, Colin N. Jones
2023	J	`jnl`	Degradation-aware data-enabled predictive control of energy hubs. CoRR Varsha Behrunani, Marta Zagórowska, Mathias Hudoba de Badyn, Francesco Ricca, Philipp Heer, John Lygeros
2023	J	`jnl`	Designing Fairness in Autonomous Peer-to-peer Energy Trading. CoRR Varsha Behrunani, Andrew Irvine, Giuseppe Belgioioso, Philipp Heer, John Lygeros, Florian Dörfler
2023	J	`jnl`	Distributed Multi-Horizon Model Predictive Control for Network of Energy Hubs. CoRR Varsha Behrunani, Hanmin Cai, Philipp Heer, Roy S. Smith, John Lygeros
2023	J	`jnl`	Experimental Validation for Distributed Control of Energy Hubs. CoRR Varsha Behrunani, Philipp Heer, John Lygeros
2023	J	`jnl`	SIMBa: System Identification Methods leveraging Backpropagation. CoRR Loris Di Natale, Muhammad Zakwan, Philipp Heer, Giancarlo Ferrari-Trecate, Colin N. Jones
2023	J	`jnl`	Stable Linear Subspace Identification: A Machine Learning Approach. CoRR Loris Di Natale, Muhammad Zakwan, Bratislav Svetozarevic, Philipp Heer, Giancarlo Ferrari-Trecate, Colin N. Jones
2023	J	`jnl`	Stochastic MPC for energy hubs using data driven demand forecasting. CoRR Francesco Micheli, Varsha Behrunani, Jonas Mehr, Philipp Heer, John Lygeros
2023	—	`conf`	Uncertainty-Aware Energy Flexibility Quantification of a Residential Building. ISGT EUROPE Julie Rousseau, Hanmin Cai, Philipp Heer, Kristina Orehounig, Gabriela Hug
2022	J	`jnl`	Efficient Reinforcement Learning (ERL): Targeted Exploration Through Action Saturation. CoRR Loris Di Natale, Bratislav Svetozarevic, Philipp Heer, Colin N. Jones
2022	—	`conf`	Near-optimal Deep Reinforcement Learning Policies from Data for Zone Temperature Control. ICCA Loris Di Natale, Bratislav Svetozarevic, Philipp Heer, Colin N. Jones
2022	J	`jnl`	Near-optimal Deep Reinforcement Learning Policies from Data for Zone Temperature Control. CoRR Loris Di Natale, Bratislav Svetozarevic, Philipp Heer, Colin N. Jones
2022	J	`jnl`	Physically Consistent Neural ODEs for Learning Multi-Physics Systems. CoRR Muhammad Zakwan, Loris Di Natale, Bratislav Svetozarevic, Philipp Heer, Colin N. Jones, Giancarlo Ferrari-Trecate
2022	J	`jnl`	Towards Scalable Physically Consistent Neural Networks: an Application to Data-driven Multi-zone Thermal Building Models. CoRR Loris Di Natale, Bratislav Svetozarevic, Philipp Heer, Colin Neil Jones
2021	J	`jnl`	Data-Driven Demand-Side Flexibility Quantification: Prediction and Approximation of Flexibility Envelopes. CoRR Nami Hekmat, Hanmin Cai, Thierry Zufferey, Gabriela Hug, Philipp Heer
2021	J	`jnl`	Data-driven MIMO control of room temperature and bidirectional EV charging using deep reinforcement learning: simulation and experiments. CoRR Bratislav Svetozarevic, Christian Baumann, Simon Muntwiler, Loris Di Natale, Philipp Heer, Melanie N. Zeilinger
2021	J	`jnl`	Experimental implementation of an emission-aware prosumer with online flexibility quantification and provision. CoRR Hanmin Cai, Philipp Heer
2021	—	`conf`	Input Convex Neural Networks for Building MPC. L4DC Felix Bünning, Adrian Schalbetter, Ahmed Aboudonia, Mathias Hudoba de Badyn, Philipp Heer, John Lygeros
2021	J	`jnl`	Physically Consistent Neural Networks for building thermal modeling: theory and analysis. CoRR Loris Di Natale, Bratislav Svetozarevic, Philipp Heer, Colin N. Jones
2021	J	`jnl`	Physics-informed linear regression is a competitive approach compared to Machine Learning methods in building MPC. CoRR Felix Bünning, Benjamin Huber, Adrian Schalbetter, Ahmed Aboudonia, Mathias Hudoba de Badyn, Philipp Heer, Roy S. Smith, John Lygeros
2021	—	`conf`	Safe Flexibility in Active Distribution Grids: A Practical Data-Driven Approach. ISGT-Europe Stavros Karagiannopoulos, Petros Aristidou, Hanmin Cai, Philipp Heer, Gabriela Hug
2020	J	`jnl`	Input Convex Neural Networks for Building MPC. CoRR Felix Bünning, Adrian Schalbetter, Ahmed Aboudonia, Mathias Hudoba de Badyn, Philipp Heer, John Lygeros
2020	J	`jnl`	Machine learning and robust MPC for frequency regulation with heat pumps. CoRR Felix Bünning, Joseph Warrington, Philipp Heer, Roy S. Smith, John Lygeros
2019	—	`conf`	Controller Tuning by Bayesian Optimization An Application to a Heat Pump. ECC Mohammad Khosravi, Annika Eichler, Nicolas Schmid, Roy S. Smith, Philipp Heer