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As the global energy sector navigates the transformative forces of decarbonization, digitalization, and decentralization, artificial intelligence (AI) is emerging as a pivotal tool for optimizing energy systems. LF Energy has released a new white paper titled “Unlocking AI’s Potential for the Energy Transition Through Open Source.” The white paper highlights the critical role of open-source innovation in accelerating AI adoption within the energy industry to fulfill its transformative potential.
The paper delves into key topics, including the energy sector’s AI readiness, practical use cases of AI in energy systems, initiatives to drive broader AI adoption, and the powerful role open-source collaboration plays in advancing these efforts.
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The white paper was authored by Alexandre Parisot, LF Energy’s Director of Ecosystem, AI & Energy Systems, with contributions from an esteemed group of experts: Lucian Balea (RTE), Gus Chadney (Centre for Net Zero), Sheng Chai (Centre for Net Zero), Boris Dolley (RTE), Virginie Dordonnat (RTE), Abder Elandaloussi (Southern California Edison), Mital Kanabar (GE), David Lamers (Alliander), Vincent Lefieux (RTE), Francois Miralles (Hydro-Quebec), Camille Pache (RTE), and Pedro Vergara Barrios (TU Delft).
