Corpus ID: 2830792

Model predictive control of heating and cooling in a family house

@article{Vaak2011ModelPC,
  title={Model predictive control of heating and cooling in a family house},
  author={Mario Va{\vs}ak and Antonio Starcic and Anita Martincevic},
  journal={2011 Proceedings of the 34th International Convention MIPRO},
  year={2011},
  pages={739-743}
}
The majority of energy, approximately 40% of total energy usage, is today spent in buildings. The largest energy consuming subsystem in a building is heating, ventilation and air conditioning (HVAC) system. In this work we focus on efficient energy usage for heating and cooling in a simple house that consists of three rooms. We use model predictive control to fully take into account the current thermal conditions in the house and the 24-hours-ahead weather forecast. The controller commands… Expand
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Title A Hybrid Physics-Based and Data Driven Approach to Optimal Control of Building Cooling / Heating Systems Permalink
This work integrates a physics-based model with a data driven time-series model to forecast and optimally manage building energy. Physical characterization of the building is partially captured by aExpand
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