Artificial intelligence techniques lead to data-driven energy services in distribution power
systems by extracting value from the data generated by the deployed metering and sensing …

Buildings account for a significant amount of energy consumption leading to the issues of
global emissions and climate change. Thus, energy management in a building is …

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

Given the large amount of customer data available to financial companies, the use of
traditional statistical approaches (eg, regressions) to predict customers' credit scores may …

The consumption of energy in buildings holds considerable importance within the realm of
overall energy usage. This underscores the critical nature of employing efficient strategies …

Overuse of energy resources (especially in residential building) has been one of the most
important issues in recent decades. Researchers have often focused on the use of PCM …

The building sector is a major source of energy consumption and greenhouse gas
emissions in urban regions. Several studies have explored energy consumption prediction …

An effective indoor temperature model would assist in improving energy efficiency and
indoor thermal comfort of air conditioning system. However, it is difficult to build an accurate …

Shading is one of the cases that has effectivity on the household energy consumption.
Shadings can be used either in horizontal or vertical form adjacent to the building's window …

Accurate prediction of the building load is crucial to ensure the energy saving and improve
the operational efficiency of the heating, ventilation, and air conditioning (HVAC) system. In …