Прогнозування в системах автоматизованого управління на основі великих даних (big data)

Abstract

The rapid growth of data volumes and the need for their efficient processing pose new challenges to automated management systems. The use of big data analysis methods allows to increase the accuracy of forecasting, to ensure the optimization of production processes and to increase the productivity of systems. The paper analyzes the advantages of using machine learning algorithms for processing large data sets, as well as their impact on management decision-making in real time. The study demonstrates that the implementation of Big Data in automated control systems contributes to increasing their adaptability, reliability and efficiency in various fields such as industry, logistics and energy