Philipp Heer

According to our database, Philipp Heer authored at least 26 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Stable Linear Subspace Identification: A Machine Learning Approach.

Loris Di Natale, Muhammad Zakwan, Bratislav Svetozarevic, Philipp Heer, Giancarlo Ferrari-Trecate, Colin N. Jones

Proceedings of the European Control Conference, 2024

Design of Distribution Tariffs for Energy Hub Networks to Reduce Carbon Emissions.

Varsha Behrunani, Federica Bellizio, Philipp Heer, John Lygeros

Proceedings of the European Control Conference, 2024

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

Proceedings of the Advanced Information Systems Engineering Workshops, 2024

2023

SIMBa: System Identification Methods leveraging Backpropagation.

Loris Di Natale, Muhammad Zakwan, Philipp Heer, Giancarlo Ferrari-Trecate, Colin N. Jones

CoRR, 2023

Experimental Validation for Distributed Control of Energy Hubs.

Varsha Behrunani, 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

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

Distributed Multi-Horizon Model Predictive Control for Network of Energy Hubs.

Varsha Behrunani, Hanmin Cai, Philipp Heer, Roy S. Smith, John Lygeros

CoRR, 2023

Stochastic MPC for energy hubs using data driven demand forecasting.

Francesco Micheli, Varsha Behrunani, Jonas Mehr, Philipp Heer, John Lygeros

CoRR, 2023

Designing Fairness in Autonomous Peer-to-peer Energy Trading.

Varsha Behrunani, Andrew Irvine, Giuseppe Belgioioso, Philipp Heer, John Lygeros, Florian Dörfler

CoRR, 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

Proceedings of the 11th Linked Data in Architecture and Construction Workshop, 2023

Uncertainty-Aware Energy Flexibility Quantification of a Residential Building.

Julie Rousseau, Hanmin Cai, Philipp Heer, Kristina Orehounig, Gabriela Hug

Proceedings of the IEEE PES Innovative Smart Grid Technologies Europe, 2023

Computationally Efficient Reinforcement Learning: Targeted Exploration leveraging Simple Rules.

Loris Di Natale, Bratislav Svetozarevic, Philipp Heer, Colin N. Jones

Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

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

Efficient Reinforcement Learning (ERL): Targeted Exploration Through Action Saturation.

Loris Di Natale, Bratislav Svetozarevic, Philipp Heer, Colin N. Jones

CoRR, 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

Near-optimal Deep Reinforcement Learning Policies from Data for Zone Temperature Control.

Loris Di Natale, Bratislav Svetozarevic, Philipp Heer, Colin N. Jones

Proceedings of the 17th IEEE International Conference on Control & Automation, 2022

2021

Physically Consistent Neural Networks for building thermal modeling: theory and analysis.

Loris Di Natale, Bratislav Svetozarevic, Philipp Heer, Colin N. Jones

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

Experimental implementation of an emission-aware prosumer with online flexibility quantification and provision.

Hanmin Cai, Philipp Heer

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

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

Input Convex Neural Networks for Building MPC.

Felix Bünning, Adrian Schalbetter, Ahmed Aboudonia, Mathias Hudoba de Badyn, Philipp Heer, John Lygeros

Proceedings of the 3rd Annual Conference on Learning for Dynamics and Control, 2021

Safe Flexibility in Active Distribution Grids: A Practical Data-Driven Approach.

Stavros Karagiannopoulos, Petros Aristidou, Hanmin Cai, Philipp Heer, Gabriela Hug

Proceedings of the IEEE PES Innovative Smart Grid Technologies Europe, 2021

2020

Machine learning and robust MPC for frequency regulation with heat pumps.

Felix Bünning, Joseph Warrington, Philipp Heer, Roy S. Smith, John Lygeros

CoRR, 2020

2019

Controller Tuning by Bayesian Optimization An Application to a Heat Pump.

Mohammad Khosravi, Annika Eichler, Nicolas Schmid, Roy S. Smith, Philipp Heer

Proceedings of the 17th European Control Conference, 2019