LF Energy has announced the release of a new white paper, “Unlocking AI’s Potential for the Energy Transition Through Open Source“. As the global energy sector undergoes a critical transformation driven by decarbonization, digitalization, and decentralization, artificial intelligence (AI) has emerged as a key enabler for optimizing energy systems. This white paper demonstrates how open source innovation is essential to accelerate AI adoption in the energy industry and deliver on its promises.
The paper explores the state of AI readiness in the energy industry, use cases for AI within energy systems, initiatives to increase AI adoption for energy, and the impact and promise of open source for accelerating this work.
The paper was compiled by LF Energy Director of Ecosystem, AI & Energy Systems Alexandre Parisot, with contributions from 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).
Download “Unlocking AI’s Potential for the Energy Transition Through Open Source” now to learn more about open source AI for energy systems.
