Perspectives of AI-Based Control Systems in Central Asian Thermal Energy Sector

Abstract

The thermal energy sector plays a strategic role in ensuring economic stability and energy security across Central Asia. However, the region continues to face numerous challenges associated with outdated infrastructure, inefficient fuel consumption, operational instability, and increasing environmental concerns. In recent years, Artificial Intelligence (AI) and Machine Learning (ML) technologies have emerged as effective tools for improving industrial automation and optimizing thermal power plant operations. This paper analyzes the current condition of the thermal energy sector in Central Asia, explores the opportunities for implementing AI-based control systems, examines international cooperation and funding mechanisms, and discusses the regional significance of intelligent thermal energy management technologies. The study concludes that AI-driven systems can significantly improve operational efficiency, reduce emissions, strengthen regional energy sustainability, and support the digital transformation of the energy industry.