Search Results for author: Markus Zdrallek

Found 2 papers, 0 papers with code

Leveraging the Potential of Novel Data in Power Line Communication of Electricity Grids

no code implementations23 Sep 2022 Christoph Balada, Max Bondorf, Sheraz Ahmed, Andreas Dengela, Markus Zdrallek

By publishing the first large-scale real-world dataset, we aim to shed light on the previously largely unrecognized potential of PLC data and emphasize machine-learning-based research in low-voltage distribution networks by presenting a variety of different use cases.

Asset Management Novelty Detection

FiN: A Smart Grid and Power Line Communication Dataset

no code implementations13 Apr 2022 Christoph Balada, Sheraz Ahmed, Andreas Dengel, Max Bondorf, Nikolai Hopfer, Markus Zdrallek

To overcome this, power line communication (PLC) has emerged as a potential solution for reliable monitoring of the low-voltage grid.

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