Steps towards generative AI for power systems at Hydro-Québec

Francois Miralles – Hydro-Québec

Hydro-Québec’s network is undergoing significant changes due to the addition of generation and transmission capacity to meet future energy needs of Québec’s province. This leads to ever larger amount of network simulations as well as simulation results analysis needs. This presentation will give an overview of some generative artificial intelligence applications we envision to address the challenges faced by the company. We will also review the ongoing development activities at Hydro-Québec aimed at participating in the GridFM initiative, like data curation and downstream task specifications. This presentation will also highlight the Linux Foundation Energy hosted GridFM project, which provides a neutral ground for the GridFM community to collaborate on the development of a shared codebase. Through this project, many stakeholders will be able to share the development cost of this endeavor and jointly develop equitable and sustainable business-models.