The future of urban electricity networks lies in AI/ML

The convergence of Artificial Intelligence (AI), Machine Learning (ML), and sustainable energy solutions is emerging as a critical enabler of grid reliability, operational efficiency, and decarbonisation.

- Jayant Sinha Sr Principal Consultant (Energy & Utilities)- EnTruist Power

As Indian cities expand, electricity demand is rising, and yes, urban power systems are undergoing a fundamental transformation. The convergence of Artificial Intelligence (AI), Machine Learning (ML), and sustainable energy solutions is emerging as a critical enabler of grid reliability, operational efficiency, and decarbonisation. For utilities facing rising loads, distributed energy resources (DERs), and consumer expectations, AI-led digitalisation is no longer optional; it is foundational.

Benefits of AI/ML

One of the most immediate benefits of AI/ML adoption in urban power networks is improved grid stability and loss reduction. AI-driven analytics help utilities to process vast volumes of data from smart meters, sensors, and substations in real time. AI systems can detect emerging faults early, reduce technical and commercial losses, and prevent unplanned outages by identifying voltage fluctuations, current harmonics, thermal anomalies, and abnormal consumption patterns. This capability is especially important in dense urban environments, where even short disruptions can have cascading economic and social impacts.