Прогнозування використання об’ємів енергоресурсів компанії

Abstract

This article discusses the development of software that utilizes a multiplicative time series model to predict energy consumption. The software aims to analyze general energy usage trends within a company and anticipate future consumer behavior. The study involves aligning the input time series using the moving average method, evaluating the seasonal component, and performing analytical leveling of the data. The model parameters are estimated, and the adequacy of the model is assessed. Ultimately, the software provides a forecast of the company's electric power usage.