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Reproducible code for modeling and reconstructing weather-related power outage frequency in Florida using EAGLE-I, CONUS404, and LightGBM.

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Weather-related power-outage frequency model

This repository contains the data-building, LightGBM leave-one-year-out modeling, evaluation, feature-comparison, and publication-figure scripts used for the Florida weather-related outage-frequency study.

Start with README_USAGE.txt for the complete run order, expected inputs, and outputs.

Main workflow

  1. scripts/build_conus404_outage_dataset.py
  2. scripts/threshold_justification.py
  3. scripts/loyo_frequency_model.py
  4. scripts/evaluate_frequency.py
  5. scripts/compare_feature_sets.py
  6. scripts/compare_spatial_temporal.py (optional diagnostic)
  7. scripts/make_publication_figures.py
  8. scripts/make_supp_figs.py (optional supplementary regeneration)

make_publication_figures.py is the final manuscript-style plotting workflow. The older plotting scripts are kept under legacy/ only for provenance.

The raw data and full processed modeling CSV are not bundled in this code package. See data/README.txt.

About

Reproducible code for modeling and reconstructing weather-related power outage frequency in Florida using EAGLE-I, CONUS404, and LightGBM.

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