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FAQ
Digital twin technology provides a virtual copy of an energy system, enabling businesses to track performance and identify faults while enhancing efficiency. This technology, enables testing in different scenaniros, without impacting operations in real-time. By analysing these tests, companies can identify issues and come up with cost-effective solutions, ultimately improving system reliability and energy efficiency.
Absolutely yes, AI analyzes the operational data to identify potential faults or inefficiencies. And, early detection helps businesses schedule maintenance before the equipment fails. As a result, one can avoid costly repairs and operational disruptions. In addition to extending the life span of electrical equipment, AI-driven predictive maintenance reduces downtime and enhances overall system reliability.