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 …

With the increasing population and urbanization promotion, energy consumption and carbon
emissions have increased, and concern for inefficient energy use and deteriorating urban …

Building thermal wall mass provides a flexible heat capacity which can be effectively used
for load shifting, thus enabling demand side management (DSM). The most crucial barrier …

An important performance in building thermal control is to ensure thermal comfort with
minimal energy consumption. Model Predictive Control (MPC) is considered to be one of the …

Due to the development of energy performance contracting and the needs for peak electric
demand reduction, the interest for building energy demand prediction is renewed. Gray-box …

For implementation in controllers with limited computational power, simplified optimal control
formulations are desirable. For the case of a modulating heat pump system, the optimization …

Abstract System modeling is a vital part of building energy optimization and control. Grey
and white box modeling requires knowledge about the system and a lot of human …

Model predictive control (MPC) is a good candidate to exploit the energy cost savings
potential of concrete core activation (CCA), while guaranteeing thermal comfort. A bottleneck …

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 …

This paper presents an overview of literature and procedures about real-life, state-of-the-art
implementations of model-based (MB) Continuous Commissioning (CCx) in office buildings …