The difficulty in balancing energy supply and demand is increasing due to the growth of
diversified and flexible building energy resources, particularly the rapid development of …

The building sector accounts for 36% of the total global energy usage and 40% of
associated Carbon Dioxide emissions. Therefore, the forecasting of building energy …

Building Energy prediction has emerged as an active research area due to its potential in
improving energy efficiency in building energy management systems. Essentially, building …

For optimizing the performance of the proton exchange membrane fuel cells (PEMFCs), the I–
V polarization curve is generally used as an important evaluation metric, which can …

The real-world building can be regarded as a comprehensive energy engineering system;
its actual energy consumption depends on complex affecting factors, including various …

Paying attention to the feature engineering problems is the basis for constructing a more
accurate building energy consumption prediction model, which helps debug, control, and …

With the rapid growth in the volume of relevant and available data, feature engineering is
emerging as a popular research subject in data-driven building energy prediction owing to …

Accurate prediction of indoor temperature can provide more reference data for indoor
thermal comfort assessment and the operational effectiveness of heating, ventilation and air …

Buildings account for a significant portion of our overall energy usage and associated
greenhouse gas emissions. With the increasing concerns regarding climate change, there …

Artificial Intelligence (AI) applications in building performance prediction for environmental
sustainability outcomes play a significant role in compensating for computationally …