INTEGRATED DIGITAL TWIN + AI-BASED AUTOMATED CONTROL SYSTEM: POSITIVE IMPACT ON ENERGY EFFICIENCY IN INDUSTRIAL ENTERPRISES
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Abstract
This article examines how integrating Digital Twin technology with artificial intelligence (AI) models into automated control systems can improve energy efficiency in industrial enterprises. A Digital Twin creates a real-time virtual replica of production processes, enabling early fault detection and energy optimization. The proposed pilot project—designed for large metallurgical or chemical plants—is expected to reduce energy consumption by up to 30 % and enhance operational continuity.
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References
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