4 papers
Real-Time Edge-based Detection of Correlated AI Data-Center Load Episodes
Chandan Chaudhary, Abanish Tiwari, Yansong Pei +2
Artificial-intelligence data centers running bulk-synchronous training can impose sub-second power swings. When several facilities synchronize their training cycles, these load var…
Storage as a Transmission Asset (SATA) for Large-Load Congestion Relief
Abanish Tiwari, Chandan Chaudhary, Yansong Pei +2
Hyperscale data centers and other large concentrated loads can impose substantial new demand on existing transmission networks. If import corridors lack sufficient transfer capabil…
A Pre-Dispatch Resonance Safety Criterion for AI Training Clusters
Chandan Chaudhary, Abanish Tiwari, Yansong Pei +2
Hyperscale AI training clusters operate under the Bulk Synchronous Parallel protocol, which impose a periodic power swing on the transmission grid. Every GPU in the job transitions…
Spatial Load Correlation in AI Data-Center-Dominated Power Systems
Chandan Chaudhary, Alaaeldein Abdelkader, Yansong Pei +2
The proliferation of large-scale data centers introduces spatially correlated demand profiles that challenge the long-standing assumption of statistical independence of loads in po…