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Energy & Climate · 4 min read

Physics-Informed AI Could Outperform Generic Machine Learning for Electricity Grid Planning

New research argues that physics-informed AI—models constrained by actual power system laws—outperforms standard neural networks for electricity grid planning as data-center demand and climate volatility push grids beyond historical data ranges.

Sep 14

Energy & Climate · 4 min read

MIT Researchers Develop Tool to Estimate AI Power Consumption Directly From Chip Specs

MIT published a method to estimate AI energy consumption from chip architecture specs alone — giving grid planners and policymakers a faster way to project AI's power demand before systems are deployed.

May 16