asher-levin/loadshedding-intel

A data engineering and machine learning project designed to forecast South African power grid instability. This tool aggregates multi-source open data to build probabilistic models for regional loadshedding, enabling proactive resource planning and automated user alerts. # Loadshedding Intel A tool to predict loadshedding schedules in South Africa and help people plan around outages. ## What this will do - Pull live loadshedding status and historical data - Predict upcoming loadshedding windows - Send alerts before outages hit your area ## Status Week 1 — setting up data pipeline and collecting initial data. ## Tech stack Python, FastAPI, PostgreSQL. More details as the project develops. ## Running locally Setup instructions coming once the data layer is built.