A Model for Predicting Unregulated Energy Usage

Abstract

The paper presents a technique for estimating the energy consumption of unregulated energy loads in offices. It uses the optimum power and optimum usage period in three modes of device usage, for the estimation. The usage modes are active mode, low active (idle) mode and off mode. The optimum powers and usage times are inserted into a mathematical equation to give the estimated energy consumption. The optimum values were optioned, using the non-dominated sorting genetic algorithm II (NSGA II), from a range of measured values. The approach was tested using energy consumption data for unregulated energy loads in an office of the Kwame Nkrumah University of Science and Technology, Kumasi. The results obtained show that the model has a high degree of accuracy.