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Evaluation of uncertainties in linear energy system optimization models using neural networks

The central objective is to make substantial improvements in modelling and optimizing complex energy systems using HPC infrastructure. JSC further corroborates its role in HPC-based energy systems modelling and analysis, which aims to account for increasing model complexity. Based on the results of the project BEAM-ME UNSEEN focusses on the combination of machine learning methods and specific parallel optimization schemes.

Partners

Deutsches Zentrum für Luft- und Raumfahrt (DLR), Germany
Project Coordinator

Forschungszentrum Jülich GmbH, Germany
JSC's contact person is Daniel Rohe d.rohe@fz-juelich.de

and four further organisations.

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UNSEEN is funded by the Federal Ministry for Economic Affairs and Energy’s 6th Energy Research Programme of the Federal Goverment under Grant Agreement 03EI1004A-F.

The grant period is October 2019 until September 2022.