To implement the Universal Market Enabling Interface concept by bringing forward a adaptable and modular approach to interlink active system management with electricity markets and foster the provision of flexibility services. The researcher will work in the development of data-driven state estimation and phase detection algorithms for LV grids.
Master in Electrical and Computer Engineering or similarncy in English (spoken and written
Minimum profile required
Experience in applying data mining algorithms to distribution grids; Programming skills in R and Phyton; Fluency in English (spoken and written).
Experience with energy time series modelling; Advance knowledge in machine learning algorithms.
Since 20 Nov 2019 to 20 Dec 2019
Cluster / Centre
Power and Energy / Power and Energy Systems