EridanusQ/UnitCommitment_Trajectory_Dataset

UnitCommitment Trajectory Dataset

This repository stores generated Unit Commitment trajectory benchmark data.

The project is split into two repositories:

• Code repository: EridanusQ/UnitCommitment_Trajectory
  • generation scripts
  • modified UnitCommitment.jl source code
  • Matpower instance download and preprocessing workflow
  • documentation for reproducing the MPS generation process
• Dataset repository: EridanusQ/UnitCommitment_Trajectory_Dataset
  • this Hugging Face Dataset repository
  • generated .mps benchmark files
  • one data case per Git branch
  • each branch stores the case as a compressed .tar.gz archive

Repository Layout

The main branch is the landing page for the dataset repository. Data are stored on separate branches.

Branch	Archive	Contents
case3375wp	case3375wp.tar.gz	Generated MPS files for case3375wp
case6515rte	case6515rte.tar.gz	Generated MPS files for case6515rte
case9241pegase	case9241pegase.tar.gz	Generated MPS files for case9241pegase

More case branches can be added using the same convention:

branch name:   <case_name>
archive name:  <case_name>.tar.gz
archive root:  <case_name>/

Archive Contents

After extracting a case archive, the directory structure is:

case_name/
├── hourly_noline/
├── hourly_withline/
├── subhourly_noline/
└── subhourly_withline/

The four variants represent:

Directory	Description
hourly_noline	Hourly UC instances without transmission line constraints
hourly_withline	Hourly SCUC instances with transmission line constraints
subhourly_noline	Sub-hourly UC instances without transmission line constraints
subhourly_withline	Sub-hourly SCUC instances with transmission line constraints

File names follow:

<case>_<date>_<resolution>_<network>.mps

For example:

case3375wp_2017-05-01_s_withline.mps
case6515rte_2017-08-01_h_noline.mps
case9241pegase_2017-02-25_h_noline.mps

where h means hourly and s means sub-hourly.

Download

Download With Hugging Face CLI

huggingface-cli download EridanusQ/UnitCommitment_Trajectory_Dataset `
  case3375wp.tar.gz `
  --repo-type dataset `
  --revision case3375wp `
  --local-dir data/case3375wp

Replace case3375wp with the target branch/case name.

Download With Git LFS

git lfs install
git clone -b case3375wp https://huggingface.co/datasets/EridanusQ/UnitCommitment_Trajectory_Dataset

Then extract the archive:

tar -xzf case3375wp.tar.gz

Dataset Generation

The generated data come from Matpower Unit Commitment instances and are exported as standard .mps files for mixed-integer programming solver benchmarking.

The generation workflow is maintained in the separate code repository, not in this dataset repository. Please use the code repository for:

• environment setup
• downloading source Matpower instances
• modifying or inspecting UnitCommitment.jl model code
• regenerating MPS files
• reproducing the trajectory constraints and preprocessing logic

This dataset repository is intended to be lightweight to browse: each branch contains only the compressed generated output for one case.

Storage Policy

Do not commit expanded .mps directories to this repository. For each case:

1. Generate the case directory locally.
2. Compress it as <case_name>.tar.gz.
3. Commit the archive to the matching branch.
4. Track the archive with Git LFS.

This keeps each branch easy to download and avoids thousands of large text files in the Git tree.

Citation

The original UnitCommitment.jl project is available at:

10.5281/zenodo.4269874