A marginal-cost-driven TSA method for exact temporal aggregation in GEP MILPs, embedded in iterative algorithms that refine bounds on aggregation error.
To- wards exact temporal aggregation of time-coupled energy storage models via active constraint set identification and machine learning
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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.