Materials of WiDS Texas 2021 Hackathon
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Updated
Jun 20, 2021 - Python
Materials of WiDS Texas 2021 Hackathon
Python based data collection tool which currently supports PJM but will eventually cover everyone else....
Tiny fully-typed python client for the ERCOT Public API
ERCOT plan comparison demo: simulate electricity bill costs from 15-minute usage and weather scenarios, then rank plans (MVP, extensible lakehouse roadmap).
Every AI decision in Texas and the source behind it.
Free, open-source Python library for US ISO/RTO energy data (CAISO, ERCOT, MISO, NYISO, ISONE, SPP, PJM) - no API key required. Alternative to gridstatus.
Multi-agent RAG system using LangGraph over ERCOT protocols with retrieval optimization, memory, and web fallback.
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).
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.
Developmental Phase of EnergyHack2026
ERCOT's 434 GW interconnection queue analyzed in PostgreSQL/PostGIS: trigram POI geolocation, county queue pressure, cohort attrition, and the cost factor
Automated FERC Order 2023 Grid Queue & Substation Interconnection Modeling Engine. Sub-second certified inverter stability eliminating + synchronous condenser mandates.
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.
ERCOT hourly load + Texas weather data pipeline for energy demand correlation analysis.
Interconnection-first land screening over public South Texas data — every parcel ≥50 acres scored, then tracked through site control. Config-driven Python pipeline, Leaflet map, live demo.
Weather-driven scenario generator for extreme-weather grid reliability on an ERCOT-scale synthetic grid
Point-in-time machine learning for next-day ERCOT real-time price spikes.
Auditable Texas electricity-demand forecasting, calibrated uncertainty and execution-aware paper research.
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