Modernizing the electrical grid requires shifting from manual, siloed, and reactive planning processes to AI-driven, physics-informed automation. Josh Wong, CEO and founder of ThinkLabs, explains that current utility planning relies on expensive, time-consuming studies that often fail to keep pace with modern electrification needs. By training AI models on the physics of the grid, utilities can achieve sub-second power flow analysis and generate actionable solutions instead of merely identifying congestion points. Beyond planning, AI offers transformative potential for grid operations by replacing manual alarm management with continuous, closed-loop feedback systems. This digital evolution is essential for unlocking latent capacity within existing infrastructure, providing a more efficient path for connecting large-scale loads like data centers while maintaining the reliability and affordability of the modern energy system.
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