Implementing an efficient control strategy for heating, ventilation, and air conditioning
(HVAC) systems can lead to improvements in both energy efficiency and thermal …

Buildings consume a significant amount of energy, estimated at about one-third of total
primary energy resources. Building energy efficiency has turned out to be a major issue in …

Accurate modelling of the weather's temporal and spatial impacts on building energy
demand is critical to decarbonizing energy systems. Here we introduce a customizable …

Nowadays, there is growing interest in all the smart technologies that provide us with
information and knowledge about the human environment. In the energy field, thanks to the …

This study compares building electric energy prediction approaches that use a traditional
statistical method (linear regression) and artificial neural network (ANN) algorithms. We …

The building design community is challenged by continuously increasing energy demands,
which are often combined with ambitious goals for indoor environment, for environmental …

With the growing trove of publicly available building energy data, there are now ample
opportunities to apply machine learning methods for prediction of building energy …

Building energy use associated with non-domestic buildings accounts for approximately
19% of the total UK CO 2 emissions. Energy consumption in a non-domestic building is a …

Office buildings are responsible for a substantial portion of the energy demand in the
commercial sector. To better understand and address the impacts of climate change on their …

Occupant behavior has a significant impact on building energy consumption. To reduce
energy use in office buildings, various intervention strategies have been investigated to …