Mathematical Model of Intellectual Decision-Making Support for the ion of the Enterprise`s Optimal Production Plan Under Conditions of Energy Restrictions

Abstract

The article examines the process of building a mathematical model of intelligent decision support for determining the level of an enterprise`s energy consumption while producing different quantities of products. To solve this problem, it is proposed to use a mathematical model based on the theory of neural networks, namely, a two-layer perceptron. The approximation of the nonlinear energy consumption function is carried out by the Scaled Conjugate Gradient method. As a result of training, a prognostic mathematical model was obtained that allows the determination of the level of the enterprise`s energy consumption depending on the input factors. In particular, it permits forecasting the level of the enterprise`s energy consumption due to a production plan, hours of planned power outages, and periods of using alternative sources.