Power Engineering in the Data Age: Models and AI

Modern power engineering extends far beyond hardware and individual facilities. The sector increasingly operates as an intelligent system in which data and algorithms play central roles.

What does this mean in practice?

Equipment and networks continuously generate data: measurements, signals, images and telemetry.

These data are analysed to assess system condition, forecast demand and detect risks.

Decisions are made not only by following predefined rules, but also with the assistance of models and AI algorithms.

Digital twins, intelligent diagnostics, operating-condition forecasting and predictive maintenance all emerge at the intersection of energy, data and analytics.

AI in electric power engineering is not about opaque black boxes. It is about making informed use of data to support resilient, reliable and controllable systems.