Presenters : Victor Tan, Rachel Berryman, Fraser Cook, Javier Mantilla, John Ging

Artificial intelligence is moving from proof-of-concept into operational deployment across power utilities worldwide.
The tutorial covers AI applications in the utility value chain. In asset management, it examines condition monitoring of transformers, GIS, cables, and overhead lines — from mature UHF partial discharge classification to emerging ML-based dynamic line and cable thermal rating. In system operations, it addresses how deep reinforcement learning, neural surrogates, and generative AI copilots are being deployed for unit commitment, economic dispatch, renewable and load forecasting, voltage and congestion management, and control room situational awareness. The session also explores AI governance frameworks and ethical standards shaping deployment in regulated utility environments.
The applications are assessed against a maturity spectrum from early research through commercial availability, and the tutorial offers practical guidance on navigating the transition to data-driven approaches, with attention to data quality, model validation, and the evolving role of human oversight.

The applications are assessed against a maturity spectrum from early research through commercial availability, and the tutorial offers practical guidance on navigating the transition to data-driven approaches, with attention to data quality, model validation, and the evolving role of human oversight.

The session closes with a hands-on mini-demo in building a simple utility-relevant AI agent, illustrating how rapidly modern tooling lowers the barrier from idea to working prototype.

 

Speakers

Fraser
COOK

Javier
MANTILLA

John
GING

Rachel
BERRYMAN

Victor
TAN