Forecasting and analysis of energy consumption

Abstract

Prediction – powerful statistical power management tools in the industry. In this article we examined
two complementary statistical forecasting models: the corridor for a few months in advance and a
model for a day ahead. The basis of the energy-saving is the systematic implementation of a wide range
of technical and technological measures to be implemented in the framework of an optimal power consumption
infrastructure management procedures at the system level. Energy savings can be achieved by
improving the activity of the administrative apparatus. This article presents the results of the implementation
of energy forecasting model, which reduces energy consumption as a whole by more than 20%.
Prediction may be performed based on a static model that reflects the process of power consumption
for the year ahead. Dynamic stochastic modeling allows the forecast for the medium term (5 - 7 years).
The main advantage of this approach – is the formation of a fair rate of energy expenditure, taking into
account fuel quality, as well as the current state of energy consumption.