Development of predictive control algorithms for energy communities with distributed energy storage.
Analysis of the state of the art in optimal management of community energy storage and modelling of storages' system efficiency and degradation; Development of community energy management algorithms; Implementation and validation of computational tools with real data and in laboratorial environment.
Master's degree in electrical and computer engineering
Minimum profile required
Advanced knowledge about electric power systems. Advanced knowledge about energy modelling and optimization algorithms. Advanced Python programming skills.
Experience with energy modelling and optimization for energy management at buildings or microgrid systems; Experience in programming embedded systems; Fluency in English and Portuguese (spoken and written)
Since 26 Jan 2022 to 11 Feb 2022
Cluster / Centre
Power and Energy / Power and Energy Systems