Data and Methodology for an AI-Driven Multimodal Renewable Energy Forecasting and Grid Instability Early Warning System
This report explains the data, methods, and results of an AI-driven wind and solar energy forecasting and grid instability early-warning system. It uses hourly generation and weather records from 1 January 2020 to 30 November 2025. Models are trained on 2020 to 2024 data and evaluated on the held-out year 2025. The rep...