AI IN SUSTAINABILITY
The observatory includes
19
case studies on AI applications in the energy sector
CREDIT: IEA
What’ s particularly interesting is how the observatory positions AI as both problem and solution.
Training language models( LMs) require enormous amounts of electricity, but AI can also optimise power grids, detect energy waste and accelerate the transition to renewable sources.
The platform will evolve as more companies contribute data and case studies.
Kate captures the potential, saying:“ I’ m excited to see the many applications of how AI is being used today and new additions to the observatory over time.”
The IEA concludes:“ There has been a step change in the capabilities of AI, driven by falling computation costs, a surge in data availability and technical breakthroughs.
“ The new and fast-moving field of AI requires a new approach to gathering data and information.
“ There is no AI without energy; at the same time, AI has the potential to transform the energy sector.”
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