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Published July 6, 2021 | Version v1

Datasets for experiments in support of "Algorithm Selection and Configuration with Empirical Model Learning: a Case Study on Online Algorithms in Energy Systems"

  • 1. University of Bologna

Description

The zip archive contains three datasets used during the experimental phase of the paper:

  • ANTICIPATE_trainDataset.csv: used in order to train the ML models for the ANTICIPATE algorithm (Section 4.1);
  • CONTINGENCY_trainDataset.csv: used in order to train the ML models for the CONTINGENCY algorithm (Section 4.1);
  • EmpiricalValidationSet.csv: used for validating the EML optimization model (Section 4.2)

Files

CP2021_datasets.zip

Files (5.0 MB)

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