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Code accompanying the paper "Robust Machine-Learned Algorithms for Efficient Grid Operation"

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Robust ML for Grid Operation

This repository contains code accompanying the paper "Robust Machine-Learned Algorithms for Efficient Grid Operation", including code for running experiments and generating figures. A part of this code - specifically, the cogeneration plant model, associated data, and utilities - is modified from the CogenEnv environment in the SustainGym suite of reinforcement learning benchmarks.

Folder structure

Experiments/
    CALTECH_ONNX_Model/     # Cogeneration plant model
    data/                   # ambient condition data + experiment data storage
    eds_experiments.ipynb   # jupyter notebook with code for running experiments
    figures/                # storage for figures generated by code
    util.py                 # utilities for loading data

License

This repository is released under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License (CC BY-NC-SA 4.0). See the LICENSE file for the full terms.

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Code accompanying the paper "Robust Machine-Learned Algorithms for Efficient Grid Operation"

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