I turn complex energy models into practical software tools. I build optimization and forecasting algorithms for electricity markets, with current focus on battery optimization, price forecasting, and renewable energy integration.
My background in production cost modeling meets modern software engineering to solve energy trading and grid management challenges.
ERCOT Curtailment Optimization Tool In Development
Interactive dashboard analyzing renewable energy curtailment patterns in Texas electricity markets. Built with Python optimization libraries and real-time ERCOT API data.
Energy Market Forecasting Engine Research Phase
Machine learning models for electricity price prediction using weather data, demand patterns, and market signals.
Shadow Prices in Energy Markets - What shadow prices tell us about grid constraints and market efficiency, with real ERCOT examples.
Understanding Energy Curtailment Through Linear Programming Coming Soon
Breaking down why renewable energy gets curtailed and how optimization models reveal the economic drivers.
Building Curtailment Models with Python Coming Soon
Step-by-step guide to modeling transmission constraints and renewable curtailment using optimization libraries.