Big Data in Smart Grids

Andreas Unterweger presented latest research results of the Josef Ressel Centre at the 2016 IEEE International Conference on Big Data.

Andreas Unterweger and colleagues of the Josef Ressel Centers’ Privacy and Security division develop methods for data protection and data security for the future operation of Smart Grids.
One major point of interest is the data size of the power customers Smart Meter data. The data size depends on its resolution and therefore impacts the transmission performance of Smart Grids.

Andreas Unterweger and Dominik Engel evaluated the compressibility of Smart Grid data depending on its resolution. In their paper “Lossless Compression of High Frequency Voltage and Current Data in Smart Grids” Unterweger and Engel pay special attention to high resolution data.

Andreas Unterweger recently presented the outcome of this paper on the IEEE International Conference on Big Data in Washington. In his talk Unterweger showed that high resolution data has the same compression performance as low resolution data. This surprising result shows that Smart Grids do not need as much transmission capacity as expected.

  • [PDF] [DOI] A. Unterweger and D. Engel, “Lossless Compression of High-Frequency Voltage and Current Data in Smart Grids,” in Proceedings of the 2016 IEEE International Conference on Big Data, 2016, p. 3131–3139.
    [Bibtex]
    @InProceedings{Unterweger16b,
    author = {Unterweger, Andreas and Engel, Dominik},
    title = {{Lossless Compression of High-Frequency Voltage and Current Data in Smart Grids}},
    booktitle = {Proceedings of the 2016 IEEE International Conference on Big Data},
    year = {2016},
    pages = {3131--3139},
    publisher = {IEEE},
    doi = {10.1109/BigData.2016.7840968},
    pdf = {http://www.en-trust.at/papers/Unterweger16b.pdf},
    }