Renewable Energy and Resources

AI, Big Data & Digital Twins in Energy Systems

Artificial Intelligence (AI), big data, and digital twins are transforming energy systems by enabling smarter, more efficient, and resilient management of energy generation, distribution, and consumption. AI algorithms analyze vast amounts of data from sensors and smart meters to optimize energy production, forecast demand, and detect faults in real-time. Big data analytics support decision-making by uncovering patterns and insights that enhance grid reliability and integration of renewable energy sources. Digital twins—virtual replicas of physical energy assets or entire grids—allow operators to simulate scenarios, predict performance, and plan maintenance proactively, reducing downtime and costs. Together, these technologies drive innovation in energy management, facilitate the transition to decentralized and renewable energy systems, and contribute to a more sustainable and reliable energy future.