Statistical methods for forecasting the expense of electrical energy

Abstract

An energy audit with prescriptions of energy saving measures for the educational buildings of University of Food Technology (UFT) – Plovdiv was done. When creating a system for collecting, archiving and processing the energy expenses, it is important the costs incurred to be analyzed. The mathematical statistics gives an appropriate tool for this. The analysis showed that much of the cost is due to the building’s lighting. In this approach, a forecast for future costs of electrical energy can be done with a sufficient number of accumulated data.