The objective of energy transition is to convert the worldwide energy sector from using fossil
fuels to using sources that do not emit carbon by the end of the current century. In order to …

Combining building performance simulation (BPS) and artificial intelligence (AI) provides
smart buildings with the ability to adapt by utilizing BPS's data synthesis and training …

Buildings with thermal activated components enable short-term storage of heat and cold with
a high level of comfort for the inhabitants. However, a challenge for temperature control is …

Power transformers are one of the most costly assets in power grids. Due to increasing
electricity demand and levels of distributed generation, they are more and more often loaded …

With a high share of renewable energy in the power grid, it becomes increasingly difficult to
ensure a continuous balance between power generation and consumption, thereby …

Abstract Model predictive control (MPC) is a promising optimal control technique for
activating building energy flexibility using its thermal mass. The performance of the MPC …

This paper presents an optimal management strategy, called Building Optimizer, based on a
Model Predictive Control (MPC) approach with self-learning capabilities for buildings. The …

Optimizing efficiency in the operation of the HVAC system of existing buildings requires the
construction of a thermal dynamic model of the building, which may be challenging because …

Existing heat vulnerability assessment methods do not typically consider housing
characteristics due to limited data and understanding of their effects. This research shows …

The accuracy in reduced-order building models affects prediction of energy consumption
and indoor air temperature through the quality of control strategies in buildings. The …