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Project

FUSE

Future Smart Energy

  • Duration:

FUSE explores and demonstrates the application of technologies based on artificial Intelligence to increase the resilience and stability of the future energy grid and support the incorporation of an increasing percentage of renewable energy sources. The future energy grid will have a cellular structure with various different assets in the cells monitored and controlled by smart information and communication technology to balance local production and consumption, to control bidirectional energy flows between and within grid-cells, and to minimize system failures, a hierarchical data-flow architecture using artificial intelligence for distributed data processing is developed.

Partners

  • Easy Smart Grid GmbH, Karlsruhe
  • Technische Universität Berlin
  • ALL4IP Technologies GmbH & Co. KG, Darmstadt
  • Jubic Oy, Vaasa
  • ABB Oy, Vaasa
  • University of Vaasa
  • Teknologian Tutkimuskeskus VTT Oy, Espoo

Sponsors

BMWi - Federal Ministry for Economic Affairs and Energy

0350025A

Gefördert vom Projektträger Jülich mit Mitteln des Bundesministeriums für Wirtschaft und Energie aufgrund eines Beschlusses des Deutschen Bundestages unter dem Förderkennzeichen 0350025A.

BMWi - Federal Ministry for Economic Affairs and Energy

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Contact Person
Dr.-Ing. Thomas Vögele

Keyfacts

Publications about the project

Sector-coupled Energy Systems Using the Flexibility of Smart DSM

Christian Wiezorek; Stefan Werner; Miguel Bande Firvida; Thomas Vögele; Kai Strunz

In: CIRED 2021 - The 26th International Conference and Exhibition on Electricity Distribution. International Conference and Exhibition on Electricity Distribution (CIRED-2021), September 20-23, Pages 2198-2202, Vol. 2021, ISBN 978-1-83953-591-8, IET, 2021.

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Validating Algorithms for Flexible Load Control in a Smart Grid Laboratory Environment

Christian Wiezorek; Christian Backe; Stefan Werner; Miguel Bande Firvida; Christoph Wulkow; Kai Strunz

In: Christian Wiezorek; Christian Backe; Stefan Werner; Miguel Bande Firvida; Christoph Wulkow; Kai Strunz (Hrsg.). Validating Algorithms for Flexible Load Control in a Smart Grid Laboratory Environment. IEEE PES Innovative Smart Grid Technologies Europe (ISGT-Europe-2021), 2021 IEEE PES Innovative Smart Grid Technologies Europe (ISGT Europe), October 18-21, Espoo, Finland, ISBN 978-1-6654-4875-8, IEEE, 2021.

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Adaptive in-situ forecasting for demand-side management in low voltage power grids

Christian Backe; Miguel Bande Firvida; Stefan Werner; Christian Wiezorek

In: Christian Backe; Miguel Bande Firvida (Hrsg.). Adaptive in-situ forecasting for demand-side management in low voltage power grids. IEEE International Conference on Smart Energy Systems and Technologies (SEST-2021), 2021 International Conference on Smart Energy Systems and Technologies (SEST), September 6-8, Vaasa, Finland, Pages 1-6, ISBN 978-1-7281-7660-4, IEEE, 2021.

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