Advanced controls have attracted increasing interests due to the high requirement on smart
and energy-efficient (SEE) buildings and decarbonization in the building industry with …

This paper proposes a B-splines integrated method combining in-situ data with grey-box
modeling to estimate buildings' dynamic solar gain more efficiently than the conventional …

On-site measured data in combination with statistical methods is used more and more to
assess the actual performance of a building and to develop simplified models that can be …

In future smart energy systems, consumers are expected to change their load patterns as
they become a significant source of flexibility. To ensure reliable load profile forecasts for …

This paper proposes non-linear autoregressive models with exogenous inputs to model the
air temperature in each room of a Danish school building connected to the local district …

This study investigates the estimation uncertainties of grey-box models, with increased
complexities of quantifying solar gain dynamics, in building energy performance …

Solar gains are a significant share of the heat input to the buildings' interior energy balance.
Therefore, it is important to estimate the dynamic details of solar gains precisely for …

Solar energy is an essential renewable energy source for buildings, such as electricity
generated by building-integrated photovoltaic and both electricity and thermal energy …

The domestic sector accounted for 28% of UK final energy consumption in 2017 (BEIS,
2018a) and 23% of greenhouse gas (GHG) emissions in 2015. Meeting the UK …

The significance of precise information on solar gains (Sg), based on dynamic solar aperture
(gA) integration, has been verified in several studies. These studies have demonstrated the …