THE CONCEPT OF ENERGY EFFICIENCY AND ITS ANALYTICAL INDICATORS
Keywords:
Energy efficiency, energy intensity, industrial energy, Artificial Intelligence (AI), LSTM neural networks, energy monitoring, optimization, predictive analysis.Abstract
This article systematically analyzes the essence of energy efficiency, its key performance indicators, and assessment methodologies within modern industrial manufacturing. The research clarifies the distinctions between energy efficiency and energy conservation, emphasizing the economic significance of fundamental metrics such as energy intensity and efficiency coefficients. Furthermore, the paper provides a classification of technical, organizational, and human factors influencing industrial energy consumption. A significant part of the study focuses on the role of Artificial Intelligence (AI) and Internet of Things (IoT) technologies in energy management within the context of Industry 4.0, specifically exploring the potential of LSTM neural networks for demand forecasting and predictive maintenance.
