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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 |