Present a hybrid iPSO-ANN prediction model for short term building electricity consumption forecasting.
An improved PSO algorithm is applied to adjust ANN structure's weights and threshold values.
PCA method is used for the selection of the input variables, which helps to reduce the input dimension.
Better performances are obtained compared with regular ANN and GA-ANN models using two different data sets.