A marginal-cost-driven TSA method for exact temporal aggregation in GEP MILPs, embedded in iterative algorithms that refine bounds on aggregation error.
Comparison of clustering algorithms for the selection of typical demand days for energy system synthesis
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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.