In developed countries, buildings are involved in almost 50% of total energy use and 30% of
global green-house gas emissions. Buildings' operational energy is highly dependent on …

Metamodels aim to approximate characteristics of functions or systems from the knowledge
extracted on only a finite number of samples. In recent years kriging has emerged as a …

Detailed parametric analysis and measurements are required to reduce building energy
usage while maintaining acceptable thermal conditions. This research suggested a system …

Numerous buildings fall short of expectations regarding occupant satisfaction, sustainability,
or energy efficiency. In this paper, the performance of buildings in terms of occupant comfort …

Statistical models can be used as surrogates of detailed simulation models. Their key
advantage is that they are evaluated at low computational cost which can remove …

This study introduces a Bayesian network model to evaluate the comfort levels of occupants
of two non-residential Norwegian buildings based on data collected from satisfaction …

The building envelope performance significantly influences the building energy
consumption, and the major influencing factors of the building envelope include the external …

Building energy consumption prediction plays an irreplaceable role in energy planning,
management, and conservation. Constantly improving the performance of prediction models …

A building system is highly nonlinear and commonly includes a variety of parameters
ranging from the architectural design to the building mechanical and energy system. Serving …

Geothermal energy has the potential to contribute significantly to the CO 2 reduction targets
as a renewable source for building heating and cooling but is yet under exploited, mostly …