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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
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