A risk-aware convex model with CVaR and weighted L1 regularization increases flexible load hosting capacity while enforcing tail-risk limits and intervention budgets.
The role of flexible connection in accelerating load interconnection in distribution networks
3 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
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eess.SY 3years
2026 3verdicts
UNVERDICTED 3representative citing papers
AI data center temporal and spatial flexibility reduces grid investment and operational costs by 3-21% in some locations and load conditions but does not consistently lower required generation capacity and shows diminishing returns beyond certain deferral times.
Risk-aware robust optimization plus simultaneous ascending auctions can allocate more transmission capacity to AI data centers by tolerating minimal service interruption probabilities under additive or symmetric concave valuations.
citing papers explorer
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Risk-Aware Hosting Capacity Analysis for Flexible Load Interconnection in Distribution Networks
A risk-aware convex model with CVaR and weighted L1 regularization increases flexible load hosting capacity while enforcing tail-risk limits and intervention budgets.
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To Defer or To Shift? The Role of AI Data Center Flexibility on Grid Interconnection
AI data center temporal and spatial flexibility reduces grid investment and operational costs by 3-21% in some locations and load conditions but does not consistently lower required generation capacity and shows diminishing returns beyond certain deferral times.
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Risk-Aware Allocation of Transmission Capacity for AI Data Centers
Risk-aware robust optimization plus simultaneous ascending auctions can allocate more transmission capacity to AI data centers by tolerating minimal service interruption probabilities under additive or symmetric concave valuations.