Intrusive PCE reformulates stochastic multi-market VPP scheduling into a tractable deterministic spectral problem, matching scenario-based quality with up to 137x speedup on a Swiss grid case.
(2025) Regelleistung.net – data center: afrr capacity market data
2 Pith papers cite this work. Polarity classification is still indexing.
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A risk-aware stochastic scheduling model for virtual power plants shows that dynamic network tariffs shift demand but can cut expected profits by up to 65 percent while risk aversion stabilizes returns through better physical alignment.
citing papers explorer
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Efficient Multi-Market Scheduling of Virtual Power Plants via Spectral Representation of Uncertainty
Intrusive PCE reformulates stochastic multi-market VPP scheduling into a tractable deterministic spectral problem, matching scenario-based quality with up to 137x speedup on a Swiss grid case.
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Risk-Aware Multi-Market Scheduling of Virtual Power Plants with Dynamic Network Tariffs
A risk-aware stochastic scheduling model for virtual power plants shows that dynamic network tariffs shift demand but can cut expected profits by up to 65 percent while risk aversion stabilizes returns through better physical alignment.