metadata
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