THE ROLE OF ARTIFICIAL INTELLIGENCE TECHNOLOGIES IN ENERGY RESOURCE MANAGEMENT AND METHODS FOR INCREASING ENERGY EFFICIENCY

Abstract

This article investigates the role of artificial intelligence (AI) and Smart Grid technologies in enhancing energy efficiency and optimizing costs in industrial enterprises. The study explores real-time monitoring of energy consumption, forecasting peak load hours, and dynamically managing equipment schedules through AI-driven peak shaving strategies. An energy supply optimization mechanism is proposed using Reinforcement Learning and time-series Long Short-Term Memory (LSTM) models to balance grid electricity with renewable energy sources. Practical results demonstrate that implementing AI-based systems can reduce overall energy costs by 22%, decrease peak hour loads by 30%, and significantly reduce the enterprise's carbon footprint by 18%. The article also discusses challenges related to infrastructure modernization, data security, and investment payback periods, alongside viable solutions for developing economies.