Philipp Heer

Publications

• Data-driven control of room temperature and bidirectional EV charging using deep reinforcement learning: Simulations and experiments
• Towards scalable physically consistent neural networks: An application to data-driven multi-zone thermal building models
• Controller Tuning by Bayesian Optimization An Application to a Heat Pump
• Physically Consistent Neural Networks for building thermal modeling: Theory and analysis
• Characterization of heat-pump, PV and battery demonstrator technologies using a coherent energy assessment
• Sensitivity analysis of data-driven building energy demand forecasts
• Machine learning-based modeling and controller tuning of a heat pump
• Energiezukunft im Quartier erforschen und demonstrieren
• Decentralized Model Predictive Control for smart grid applications
• Improved day ahead heating demand forecasting by online correction methods
• Experimental demonstration of data predictive control for energy optimization and thermal comfort in buildings
• Predictive energy management of residential buildings while self-reporting flexibility envelope
• Benchmarking cooling and heating energy demands considering climate change, population growth and cooling device uptake
• Experimental implementation of a context-aware prosumer
• Deep Reinforcement Learning for room temperature control: a black-box pipeline from data to policies
• Experiment strategy for evaluating advanced building energy management system
• Multi-objective optimization of a power-to-hydrogen system for mobility via two-stage stochastic programming
• Robust MPC with data-driven demand forecasting for frequency regulation with heat pumps
• Design optimization of a district heating and cooling system with a borehole seasonal thermal energy storage
• Physics-informed linear regression is competitive with two Machine Learning methods in residential building MPC
• Data-driven predictive control for demand side management: Theoretical and experimental results
• NEST – una plataforma para acelerar la innovación en edificios
• Empirical validation of a data-driven heating demand simulation with error correction methods
• The Potential of Vehicle-to-Grid to Support the Energy Transition: A Case Study on Switzerland
• Benchmarking of data predictive control in a real-life apartment during heating season
• Optimal V2X operation of EV fleets with PV-battery charging station for demand-side flexibility provision
• Optimal V2X operation of EV fleets with PV-battery charging station for demand-side flexibility provision
• Data-driven adaptive building thermal controller tuning with constraints: A primal–dual contextual Bayesian optimization approach
• Distributed multi-horizon model predictive control for network of energy hubs
• Experimental implementation of an emission-aware prosumer with online flexibility quantification and provision
• Comprehensive energy demand and usage data for building automation
• Introducing price feedback of local flexibility markets into distribution network planning
• Optimal sizing and operation of hydrogen generation sites accounting for waste heat recovery
• Machine learning approaches for the prediction of public EV charge point flexibility
• SIMBa: System Identification Methods Leveraging Backpropagation
• Fully data-driven and modular building thermal control with physically consistent modeling