Satellite Solar Radiation Nowcasting

The main duty of Hydro-Québec is to repond efficiently to the energy demand of customers, in a safe and secure way while remaining competitive in the markets as well. The main goal of this start-up project is to support Hydro-Québec in developing a future-oriented energy system by proposing innovative technical solutions. Among these solutions, deep learning has been the final choice. Using a deep learning approach, satellite images, weather model outputs and data from solar radiation measurement stations, will be use for the development of a solar radiation nowcasting model. This project will have impact on several business functions related to: PV forecasting, demand forecasting, hydrology, etc.

Faculty Supervisor:

Yoshua Bengio

Student:

Jimmy Leroux

Partner:

Institut de recherche d’Hydro‐Québec

Discipline:

Computer science

Sector:

Energy

University:

Université de Montréal