Python based data collection tool which currently supports PJM but will eventually cover everyone else....

Materials of WiDS Texas 2021 Hackathon

Tiny fully-typed python client for the ERCOT Public API

Multi-agent RAG system using LangGraph over ERCOT protocols with retrieval optimization, memory, and web fallback.

ERCOT plan comparison demo: simulate electricity bill costs from 15-minute usage and weather scenarios, then rank plans (MVP, extensible lakehouse roadmap).

Get the ERCOT SPP from their website

Solar supply forecasting model training and MLflow deployment

ERCOT BESS arbitrage: LightGBM dispatch adds +$2.6M/yr (100 MW battery) over persistence on 2-year held-out test (77% of ceiling).

Data hub that ingests ERCOT public ESIID data, loads into Postgres, and serves a fuzzy search API. Built in Rust, vendor-agnostic.

Data engineering pipeline and 3-model forecasting bake-off on 5 years of ERCOT hourly demand data.

Electricity market analysis and grid stress prediction using Python, machine learning, and transmission system insights

ERCOT hourly load + Texas weather data pipeline for energy demand correlation analysis.

Python optimization framework for municipal water utility demand response. Models a three-facility system (GWTP, WWTP, lift station) as a triple-battery against ERCOT day-ahead prices using MILP (Pyomo/GLPK) and NMPC (do-mpc/CasADi/Ipopt). ENG 573 Capstone, UIUC MEng Energy Systems, Spring 2026.

Developmental Phase of EnergyHack2026

Time-series forecasting of hourly electricity demand in ERCOT regions.

End-to-end analysis of 5 years of ERCOT hourly grid load data, featuring a Winter Storm Uri case study. Built in Python, SQL, and Power BI.

Python script to download ercot zip files on local machine

Pay-per-call API for sub-hourly electricity grid mix, prices & emissions — settled in USDC on Base via x402. Live demo: grid402.climatebrain.xyz