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 …

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 …

This paper presents an investigation into the use of occupancy space electrical power
demand to mimic occupants' activities in building cooling load prediction by intelligent …

In this study, data-mining techniques comprising three forecasting algorithms for accurate
and precise cooling load requirement prediction in the building environment, with the …

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 …

Data-driven models have been widely used for building cooling load prediction. However,
the prediction accuracy depends not only on prediction models, but also on the selection of …

This study presents a methodology to forecast diurnal cooling load energy consumption for
institutional buildings using data driven techniques. The cases for three institutional …

Cooling load prediction is important and essential for many building energy efficient
controls, such as morning start control of chiller plant. However, most of the existing methods …

Building cooling load predictions can be used to better understand energy demands and to
improve the energy efficiency of HVAC systems. In this study, GA-SVR and GA-WD-SVR …

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 …