Analysis of Energy Consumption in a Residential Building

This research investigates the use of regression techniques and autocorrelation analysis to analyse raw data obtained from daily meter reading and develop accurate energy consumption prediction models for the buildings. The study is based on energy consumption from May to August 2007 for the building, obtained from daily logging of the electric meter readings. The independent and regressor variables needed for this research include; Average external temperature, Heating degree-days and other variables developed from the data. The study results show that data from meters can be used to develop accurate energy prediction model and strong variables for the model can be developed from the original data.