Loading
Machine Learning
PV Forecast
Forecasting photovoltaic energy production from historical and weather data.
A data-driven application for estimating photovoltaic production by combining historical generation records with weather forecast data and presenting the output in an accessible interface.
The challenge
Photovoltaic output depends on time-dependent weather conditions, while production records and forecast data arrive in different structures and time resolutions.
The solution
Prepared and aligned historical production and weather data, developed a forecasting workflow, and connected the predictions to an application interface for practical review.
Architecture
Historical PV data and weather forecasts feed a Python data pipeline and forecasting model. An API exposes predictions to a React-based dashboard.
Project visuals
Open to data and AI roles
Looking for a data or AI engineer?
I am open to Data Scientist, Machine Learning Engineer, AI Engineer and full-stack data or AI development opportunities.