AI-powered digital twins are virtual replicas that optimize clean energy systems, yet a major problem remains: these models struggle with unpredictable weather, aging equipment, and complex biological processes in biomass. To reach their full potential, the solution involves improving data collection and building more robust AI models that can simulate geological and environmental risks. The benefit is a faster transition to green energy with lower costs and higher efficiency.
