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DOE OSTI · 2568391

High-Fidelity, Large-Scale, Realistic Dataset Development

Van Hentenryck, Pascal [Georgia Institute of Technology, Atlanta, GA (United States)] (ORCID:0000000170859994)
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Abstract

The final report summarizes the work performed for supporting the ARPA-E Grid Optimization Competition (Challenge 2 and Challenge 3) within the stated period. Challenge 2 For the challenge period, the main responsibility of the team is to investigate, gen- erate, and deliver parts of the data sets for the competition, based on the competition model for Challenge 2, existing data sets from Challenge 1, and data source supplied by other data set teams. Challenge 3 For the challenge period, the main responsibility of the team is to propose, create, deliver, and maintain the data format during the competition period. The data format will specify how the benchmark data will be represented and communicated to competitors. It will also specify how competitors should report back the solutions. The data format will be closely aligned with the problem formulation (maintained by the formulation team) and the solution validation process (maintained by the validation team). Our team is also responsible in investigating, generating, and delivering parts of the data sets for the competition. The data sets will be created based on the competition model for Challenge 3, existing data sets from Challenge 1 and Challenge 2, and data source supplied by other data set teams.

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32 ENERGY CONSERVATION, CONSUMPTION, AND UTILIZATIONGrid OptimizationLarge-Scale, Realistic Dataset

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Van Hentenryck, Pascal [Georgia Institute of Technology, Atlanta, GA (United States)] (ORCID:0000000170859994). 2025-02-01. High-Fidelity, Large-Scale, Realistic Dataset Development. https://doi.org/10.2172/2568391

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