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.