The thermal process of heating buildings is characterized by the multivariable, nonlinear,
and large time lag. Accurately predicting building heat loads is crucial for regulating building …

This study analysed renovation measures implemented with ARA renovation subsidy in
Finland in multifamily apartment buildings. Measured energy data was used to calibrate the …

We proposed a novel multi-objective model predictive control (MPC) approach based on a
straightforward internal prediction model to achieve building energy efficiency and maintain …

The determination of the indoor air temperature is necessary for evaluating human comfort,
health, and living conditions. Existing measuring methods require entering a room, which …

Achieving precision in the prediction of buildings' dynamic heat load is crucial for the
advancement of smart heating systems. This research highlights the urgent need to enhance …

Space Heating (SH) substations in District Heating-based (DH) systems are typically
dimensioned at the design outdoor temperature without accounting for internal and solar …

During the building design phase, a lot of attention is paid to the thermal properties of the
external envelopes. New regulations are introduced to improve energy efficiency of a …

This article proposes a novel temperature prediction technique for complex indoor
environments based on parameter estimation. The method utilizes the Boussinesq …

In recent times there has been a trend of electrification worldwide, as large parts of the world
move away from the use of fossil fuels. This shift is of significant importance, particularly …