The development of smart buildings, as well as the great need for energy demand reduction,
has renewed interest in building energy demand prediction. Intelligent controllers are a …

The thermal performance of the building envelope is critical to reducing the energy
consumption of buildings and increasing the building energy efficiency. Studies on the …

Data-driven models based on thermal resistor-capacitor networks (RC models) are useful in
enhancing the energy performance of buildings. This paper presents a simple yet effective …

An automated methodology that generates sufficiently accurate building models is essential
for both the adoption of advanced control strategies like Model Predictive Control, and the …

Heat pumps are regarded as one promising option for Demand Response (DR) in
renewable-dominated energy systems. By activating the structural thermal mass of …

Building energy consumption and ways to reduce it have drawn increasing attention in
recent decades. Thermal transmittance is not only a code-enforced parameter during the …

Abstract Model predictive control (MPC) can improve energy efficiency and demand-side
flexibility in buildings. Developing a grey-box model suitable for MPC is not straightforward …

Thermal resistance of building envelope systems plays an important role in the building
energy evaluation, design, and retrofit efforts; in-situ determination of the thermal resistance …

The present paper develops an Economic Model Predictive Control (EMPC) framework to
provide Demand-Response (DR) for supporting the power grid stability while also …

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; …