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The electric power sector is increasingly leveraging artificial intelligence to tackle rising energy demands and enhance grid reliability while minimizing greenhouse gas emissions. A newly formed consortium, including major power suppliers and tech giants, aims to develop open AI models to address these challenges. The collaboration, announced at NVIDIA's Global Technology Conference, seeks to utilize vast amounts of data from the power industry to create more efficient energy systems.
AI is expected to play a crucial role in optimizing energy generation and demand forecasting, which can lead to a reduction in reliance on less efficient power sources. The consortium's efforts will also focus on expediting the permitting process for new energy projects, addressing the growing electricity needs driven by data centers. This initiative highlights the dual challenge of using energy-intensive AI technologies to solve energy-related issues.
• AI models will enhance energy systems' safety, affordability, and reliability.
• The consortium aims to utilize extensive data for improved energy forecasting.
AI is being used to optimize energy generation and demand forecasting in the power sector.
S. electricity by 2030.
Machine learning techniques will be applied to analyze vast datasets for energy optimization.
EPRI is a nonprofit organization that facilitates collaboration between energy and tech sectors for AI development.
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