UniversitatdeLleida/omie-blockchain-study

OMIE Intraday Auction Subsets for Blockchain Governance Study

This repository contains cleaned and size-scaled tabular datasets derived from one representative day of the OMIE European intraday auction market. The data were prepared for experiments on blockchain-based verifiable governance of electricity flexibility and auction markets.

The dataset is designed for three uses:

1. replaying a realistic intraday auction day end-to-end,
2. benchmarking a blockchain-governed architecture against a centralized baseline, and
3. evaluating how performance changes as the number of participating market agents increases.

Source context

OMIE operates the European intraday auction market for the Iberian electricity price zones. The market is cleared in discrete auction sessions, and bids are associated with bidding units, delivery periods, and block-based price–quantity structures. OMIE documentation describes the intraday market as a sequence of auction sessions with marginal-price clearing and period-specific bid submission. :contentReference[oaicite:0]{index=0}

The files in this repository are not raw OMIE exports. They are processed research datasets derived from OMIE intraday auction records for 2024-10-01, using the final effective version of each order before gate closure.

Dataset contents

The repository contains six CSV files:

• omie_intraday_2024_10_01_010pct.csv
• omie_intraday_2024_10_01_020pct.csv
• omie_intraday_2024_10_01_040pct.csv
• omie_intraday_2024_10_01_060pct.csv
• omie_intraday_2024_10_01_080pct.csv
• omie_intraday_2024_10_01_full.csv

The 010pct to 080pct files contain progressively larger subsets of participants, intended for scaling experiments. The full file contains the complete cleaned replay trace used as the reference case.

Row semantics

Each row is a canonical bid object with the following fields:

• submission_ts: bid submission timestamp
• auction_session: intraday auction session identifier
• type: bid side (buy or sell)
• period: hourly delivery period
• order_id: row-unique identifier generated during preprocessing
• num_blocks: number of price–quantity blocks in the bid
• total_amount_mw: total quantity across all blocks
• min_price_eur_mwh: minimum block price in the bid
• max_price_eur_mwh: maximum block price in the bid
• blocks_json: ordered JSON list of blocks, each containing:
  • block
  • price_eur_mwh
  • amount_mw
• participant_id: anonymized or normalized participant/bidding-unit identifier

Preprocessing summary

The preprocessing pipeline applied the following steps:

1. parse OMIE intraday header and detail records,
2. retain only the latest version of each order,
3. build one canonical bid per {session, participant, type, period, order},
4. renumber bid blocks so they always start at 1 and increase consecutively,
5. merge duplicated identifier columns into a single auction_session and participant_id,
6. regenerate order_id so each row has a unique identifier, and
7. sort the final dataset by submission_ts.

Intended use

This dataset is intended for:

• replay-based validation of auditability and bid-integrity mechanisms,
• systems benchmarking,
• data engineering experiments on block-structured electricity bids,
• market-governance research.

It is not intended to support claims about price forecasting, dispatch optimization, or power-system operation beyond the specific replay and benchmarking scenarios of the associated study.

Loading with datasets

You can load any file directly:

from datasets import load_dataset

ds = load_dataset(
    "UniversitatdeLleida/omie-blockchain-study",
    data_files="omie_intraday_2024_10_01_full.csv"
)
print(ds["train"][0])

Or load one named config:

from datasets import load_dataset

ds = load_dataset("UniversitatdeLleida/omie-blockchain-study", "p40")
print(ds["train"][0])

Hugging Face dataset repositories support CSV files directly and can auto-configure loading through repository structure or explicit configs metadata in the dataset card. ([Hugging Face][1])

Citation

If you use this dataset, please cite the associated paper once available.

Suggested citation

@dataset{universitatdelleida_omie_blockchain_study,
  author       = {Universitat de Lleida},
  title        = {OMIE Intraday Auction Subsets for Blockchain Governance Study},
  year         = {2026},
  publisher    = {Hugging Face},
  url          = {https://huggingface.co/datasets/UniversitatdeLleida/omie-blockchain-study}
}

Acknowledgements

The original market context and raw intraday auction structure are based on OMIE market documentation and files. OMIE remains the authoritative source for market rules and raw operational data. ([Hugging Face][2])