[KongchangAI]
Unverified50% confidenceBenchmarkExact time

Experiments on a multi-item newsvendor problem and a capacity expansion problem based on real power grid data show that when records are scarce and the model class can capture structure, setting the ball center at the learned nominal distribution rather than at the records can reduce total cost under distribution shift, while in-distribution cost remains comparable.

1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
10/30/2026
First Seen
Valid until: 1/28/2027

Sources

Related Entities

Related Claims

Cite This Claim

Stable URI
https://kongchang.com/claim/1115660
API
curl https://kongchang.com/api/v1/knowledge/claims/1115660
MCP
get_claim(id=1115660)