Smart Grids
[Open]
Work description
The proliferation of sensors in smart electrical grids and Renewable energy power plants is producing large volumes of data and the opportunity to develop approaches based on federated learning and data market. The goal is the development of new algorithms for monetization and data exchange, considering also the implementation of distributed learning techniques with data privacy.
Academic Qualifications
Bachelor or Master degree in electrical and computer engineering, applied mathematics or computer science or informatics or similar.
Minimum profile required
Knowledge about machine learning techniques. Advanced Python programming skills.
Preference factors
Experience with time series multivariate forecasting; Fluency in English and Portuguese (spoken and written).
Application Period
Since 24 Nov 2021 to 10 Dec 2021
[Open]
Cluster / Centre
Power and Energy / Power and Energy Systems