For buildings in subtropical area with negligible heating load, prediction of short term
building cooling load is of critical importance to achieve the energy saving target. However …

Cooling load refers to the amount of energy to be removed from a space (or consumed) to
bring that space to an acceptable temperature or to maintain the temperature of a space at …

Building cooling load prediction is one of the key factors in the success of energy-saving
measures. Many computational models available in the industry have been developed from …

In building energy simulation, researchers commonly use weather data obtained from the
software database or (meteorological) MET station. However, this method leads to disparity …

Building cooling load prediction is one of the key factors in the success of energy-saving
measures. Many computational models available in the industry today have been developed …

Data-mining approaches for improving building cooling load predictions are presented and
analyzed on different training time scales (T-1 to T-6) in this paper. Multiple linear regression …

This study presents four modeling techniques for the prediction of hourly cooling load in the
building. In addition to the traditional back propagation neural network (BPNN), the radial …

An important aspect in improving the energy efficiency of buildings is the effective use of
building heating and cooling load prediction models. A lot of studies have been undertaken …

Cooling accounts for a significant amount of energy consumption in hot and humid climates,
and district cooling is an energy-efficient solution. During its planning stage, an accurate and …

Residential buildings are a significant source of energy consumption and greenhouse gas
emissions, making it crucial to accurately predict their energy demand for reducing their …