Artificial intelligence (AI) is no longer on the fringe of utility operations – it is embedded in the field, control rooms, and planning layers of the grid. By applying AI to targeted challenges, utilities are realising measurable gains in forecasting accuracy, reliability, and cost efficiency.
AI in generation
AI improves renewable forecasting accuracy by up to 33 %, helping operators better integrate solar and wind resources. The UK’s National Grid ESO, for example, applies deep learning to satellite imagery to nowcast solar output, while US utilities such as Xcel Energy and Duke Energy use AI to optimise wind resources and cut gas turbine downtime by over 30 %.
AI in transmission and substations
Drones and computer vision, powered by AI, now conduct autonomous inspections of lines and substations, accelerating hazard detection and reducing outage risk. PG&E has deployed thousands of AI-enabled sensors and high-definition cameras to improve wildfire detection, enabling faster response and safer grid operations.
AI in distribution and transformers
AI-driven analytics embedded in smart meters allow utilities to instantly detect EV chargers or unusual load spikes. Utilities such as NV Energy and Avista are already deploying these tools to stabilise feeders, reduce customer complaints, and defer costly infrastructure upgrades. Predictive monitoring of transformers and substations is also emerging, using thermal, acoustic, and gas sensors paired with machine learning to anticipate failures before they occur.
AI in EV charging
EV charging is a standout use case. AI allows utilities to identify EV load profiles, steer charging to off-peak hours, and prevent feeder overloads. These measures can delay the need for new power lines while offering customers savings through smarter charging schedules.
The payoff
While many pilots remain in early stages, commercial deployments are accelerating in areas such as wildfire detection, renewable forecasting, and EV load management. The results are tangible: fully deploying today’s AI tools could save the global electricity sector up to $110 B every year, while making grid operations up to 12 times faster and more reliable.
This marks not just incremental progress, but a paradigm shift toward a predictive, adaptive, and resilient grid powered by AI.
Source: T&D World
