Author

Jayakumar Manoharan

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#machine learning Preprint Sep 2026

The Operational Value of Spatial Dependence in Renewable Forecast Scenarios for Single-Period Economic Dispatch: A Controlled Ablation Study

Renewable forecasts are evaluated by statistical skill (e.g., CRPS), but grid operators pay for realized dispatch cost. We diagnose what drives dispatch value in a single-period newsvendor-style economic dispatch using real public data from two European transmission systems (CWE, DE-4TSO). Spatial coherence across fore...

Jayakumar Manoharan · 0 citations

#artificial intelligence Preprint Sep 2026

Seed-Anchored Budget-Bounded Graph Rendering for Question Answering on Industry-Standard Power-Grid Information and Exchange Models

Under a common retrieval and rendering pipeline, the standards-native seed-anchored graph matches or exceeds extracted graph representations produced by LightRAG, Microsoft GraphRAG, and HippoRAG, while avoiding LLM graph-construction tokens.

Jayakumar Manoharan, Yamini Sehgal · 0 citations

Jul 2026

Audited Selective Verification for Risk-Controlled N-1 Thermal Contingency Screening under Deployment Shift

Real-time N-1 contingency screening in an energy management system trades assurance against cost: verifying every credible outage with full power flow is too slow, while fast linear-sensitivity screening gives no statistical guarantee and can silently pass unsafe operating points, especially when a controller drives th...

Jayakumar Manoharan · arXiv.org · 1 citation