DEVELOPMENT OF AN INTELLIGENT CONTROL SOFTWARE PACKAGE FOR ELECTRICAL ENERGY PRODUCTION USING MACHINE LEARNING ALGORITHMS

This research is dedicated to the theoretical and practical issues of intelligent management of electricity generation processes within the framework of digital transformation in energy systems. The relevance of the article is justified by the sharp increase in demand for energy resources and the low adaptability of traditional management systems. Within the scope of the study, the architecture of a software complex based on machine learning algorithms and Big Data analysis was developed. Models for high-precision electricity consumption forecasting and real-time generation process optimization are proposed using regression analysis, decision trees, and artificial neural networks. The article analyzes the state policy for ensuring the energy security of the Republic of Uzbekistan and modern trends in the industry.