Management of Information Support and Automation of Energy Systems based on Artificial Intelligence

This article investigates the impact of artificial intelligence (AI) on information support and automation in energy systems. It adopts a multi-method approach, combining literature review, case studies, and data analysis to explore various AI techniques and their applications in the energy sector. The findings show that AI-based tools can enhance the prediction, optimization, extraction, analysis, and recommendation of energy-related data, leading to improved efficiency, reliability, and sustainability of energy systems. The article also discusses AI technologies such as deep learning, reinforcement learning, and Internet of Things (IoT) integration, which offer novel opportunities for information support and automation in the energy sector. The article provides practical recommendations on the implementation of AI tools in energy systems, highlighting best practices and key considerations.