California to use AI to manage power grid

California will become the first state in North America to officially use artificial intelligence to manage power outages. Instead of manually analyzing reports, engineers will now be able to use Genie, a generative system that can instantly analyze problems on the power grid in real time. This could be a game-changer not only for the state but for the entire United States.

Currently, CAISO (California Independent System Operator) manually processes outage reports, reviews scheduled maintenance notices, reviews notes, and manually enters everything into software. This approach is not only slow, but also extremely error-prone. Now, as part of a pilot program, CAISO is implementing Genie, a generative AI-based system that can automatically assess the impact of outages on lines and transformers and, in the future, make key decisions on its own.

This initiative, according to CAISO Senior Advisor Gopakumar Gopinathan, should be a step towards modernizing the entire infrastructure. Among the benefits of AI are also mentioned: optimizing electric vehicle charging networks, forecasting weather for renewable energy, and faster planning of electricity transmission.

Despite the active discussion of AI in the context of data center energy consumption, the energy sector itself has long remained on the sidelines. California’s initiative is the first large-scale attempt to apply AI in such a conservative area as network management. A similar step has already been taken by PJM Interconnection (the largest power grid in the United States, 13 states), which in April signed an agreement with Google to implement the Tapestry AI solution.

However, experts urge not to rush to conclusions. While Genie is not integrated into all subsystems and is limited exclusively to the field of outage management.

This step by California is just the beginning. If the CAISO experiment is successful, we can expect a massive introduction of AI in the energy sector across the country. And although full automation is still far away, the very fact of using AI as part of critical infrastructure is already a serious signal of the transition to a new generation of energy industry. Safe, flexible and adaptable to modern challenges.