Previous studies have identified significant demand response (DR) potentials in using
economic model predictive control (E-MPC) of space heating to exploit the inherent thermal …

Digitalization of buildings and the use of IoT sensing and metering devices are steadily
increasing, offering new opportunities for more autonomous, efficient, and flexible buildings …

Several studies have indicated a significant potential in using Model Predictive Control
(MPC) of space heating for demand response purposes. The performance of the MPC …

Grey-box models are data-driven models where the structure is defined by the physics while
the parameters are calibrated using data. Low-order grey-box models of the building …

Dynamic solar shading devices are an effective mean to avoid overheating in buildings due
to excessive solar heat gains. They can also be used to affect the heat balance of buildings; …

A grey-box model is a combination of data-driven and physics-based approaches to
modeling. For applications in buildings, grey-box models can be used as the control model …

The building sector is among the sectors with the highest energy use, responsible for 40% of
the total energy consumption in the EU. The high energy consumption is partly due to …

In this paper, we identify and validate multi-zone grey box models with real-world
temperature measurements. We obtain the temperature measurements from temperature …

Predictive control can substantially improve the energy performance of buildings during
operation, but it requires a model of the building to be implemented. Gray-box model …

Model Predictive Control (MPC) is a promising approach for mitigating energy consumption
and for enabling efficient building climate regulation without sacrificing occupants' comfort …