FUSE – using artificial intelligence in the energy grid of tomorrow

Vögele, Thomas; Backe, Christian; Bande, Miguel; Conradi, Peter; Hovila, Petri; Kauhaniemi, Kimmo; Kumar, Haresh; Kyntäjä, Timo; Rita-Kasari, Matti; Shafiq, Muhammad; Werner, Stefan; Wiezorek, Christian (2020)
 
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URI
https://doi.org/10.1049/oap-cired.2021.0091

Vögele, Thomas
Backe, Christian
Bande, Miguel
Conradi, Peter
Hovila, Petri
Kauhaniemi, Kimmo
Kumar, Haresh
Kyntäjä, Timo
Rita-Kasari, Matti
Shafiq, Muhammad
Werner, Stefan
Wiezorek, Christian
Institution of Engineering and Technology (IET)
2020
doi:10.1049/oap-cired.2021.0091
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Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi-fe2022033026151

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vertaisarvioitu
This is an open access article published by the IET under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/)
Tiivistelmä
The objective of Future Smart Energy (FUSE), a Finnish-German research and development project, is to develop methods based on artificial intelligence (AI) that will help to increase the resilience of future energy distribution grids. The use cases that are investigated include both condition monitoring/predictive maintenance, and distributed demand-side management in medium-voltage and low-voltage grids. The FUSE concept foresees a hierarchical infrastructure of sensing- and data processing nodes that use AI to transform raw data into information on asset and grid status and performance. FUSE supports the upward flow of data and aggregation of information into high-level visualisations for grid operators, as well as the downward flow of soft control signals that trigger the distributed self-control of assets. This study outlines the FUSE concept and presents the first results.
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