AI-Based Day-Ahead Energy Forecast
Joint day-ahead probabilistic forecast of wind and solar electricity generation and demand
We developed a fully probabilistic day-ahead joint forecast of wind and solar electricity generation and demand. The article is available online. The software, and visualization tools are also public on GitHub repositories.
We presented our project at the ESIG 2025 Forecasting & Markets Workshop in Nashville.
We also attended the 2025 IEEE PES Grid Edge Technologies Conference & Exposition in San Diego to present the project.
We went to the 2024 Macro-Energy Systems Workshop at Princeton University to present a poster.
This work is part of my 2023 CNSI Climate Innovation Fellowship at the University of California.