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Research Opportunity
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Research Opportunity

Data-driven predictive management of electrical grids


Work description

Smart4RES will propose a holistic approach, that covers the whole model and value chain related to RES forecasting from weather forecasting up to end-use applications. To achieve this vision, The Grant Holder will develop data-driven solutions for use cases related to predictive and real-time operation of electrical grids, involving the modelling and integration of RES forecast uncertainty.

Academic Qualifications

Master degree in Electrical Engineering or similar

Minimum profile required

Advance knowledge in power systemsExperience in the application of artificial intelligence techniques to the electrical sectorFluent in English (spoken and written)

Preference factors

Advance programming skills in Python Experience with deep learning techniques

Application Period

Since 18 Nov 2019 to 29 Nov 2019


Cluster / Centre

Power and Energy / Power and Energy Systems

Scientific Advisor

Ricardo Jorge Bessa