A marginal-cost-driven TSA method for exact temporal aggregation in GEP MILPs, embedded in iterative algorithms that refine bounds on aggregation error.
Data-driven representative day selection for investment decisions: A cost-oriented approach
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Unlocking the Informational Value of Marginal Costs for Exact Time Series Aggregation in Generation Expansion Planning
A marginal-cost-driven TSA method for exact temporal aggregation in GEP MILPs, embedded in iterative algorithms that refine bounds on aggregation error.