Computational Problems in Forecasting in Complex Dynamical Systems

EasyChair Preprint 7215

Abstract

The article considers some problems that arise when modeling complex dynamic systems, on the example of the distribution of the computer equipment market. The classic dynamic models used in electrical engineering and electronics are chosen for modeling. It is suggested to use optimization procedures to solve the problems that arise. They make it possible to increase the accuracy of the forecast obtained with the help of a dynamic model. Examples of solving specific optimization problems are considered. Recommendations are given for the application of the proposed approaches for the electrical industry, in particular, the electricity market.

Keyphrases: computer equipment market, dynamic model, forecast, optimization procedures

@booklet{EasyChair:7215,
  author    = {Bohdan Melnyk and Petro Stakhiv and Nataliya Melnyk and Stepan Trokhaniak},
  title     = {Computational Problems in Forecasting in Complex Dynamical Systems},
  howpublished = {EasyChair Preprint 7215},
  year      = {EasyChair, 2021}}