---
license: mit
task_categories:
  - reinforcement-learning
tags:
  - electricity-markets
  - battery-dispatch
  - ercot
  - benchmark
size_categories:
  - n<1K
---

# ERCOT-RTCB v1

A daily proxy benchmark for feasibility-aware battery dispatch
under ERCOT Real-Time Co-optimization Plus Batteries (RTC+B).

## Dataset Description

304-day daily panel (June 2025 to March 2026) with real-time LMP,
MCPC for seven ancillary-service products, weather, and calendar
features. Observed five-minute MCPC covers 7 in-window days; the
remaining 297 use a frozen folded-normal generator calibrated from
a 14-day public sample. Each row carries an mcpc_is_real flag.

## Files

- sced_panel.parquet: 304-day daily panel
- leaderboard.json: baseline agent results
- sbr_results_500k.json: structural-break regret diagnostic
- croissant.json: MLCommons Croissant metadata

## Usage

See the companion paper and code repository for the Gymnasium
environment, baseline agents, and reproduction instructions.

## License

MIT