Journal paper: Compression algorithm for smart meter data

Smart meters transmit energy consumption and other data to the energy provider. This data needs to be stored for billing and other purposes. Although the amount of data per day and smart meter may not be very large, the opposite is true for thousands of smart meters over extended periods of time. Apart from its storage requirements, this data also needs to be transmitted from the consumer to the energy provider, consuming significant portions of bandwidth. To reduce both, the transmission and the storage requirements, we propose a compression algorithm for smart meter data which reduces its size by about a factor of ten compared to existing, uncompressed encodings. In addition, the design of our approach makes resuming communication after transmission errors easy due to the low communication overhead.

  • [PDF] [DOI] A. Unterweger and D. Engel, “Resumable Load Data Compression in Smart Grids,” IEEE Transactions on Smart Grid, vol. 6, iss. 2, p. 919–929, 2015.
    [Bibtex]
    @Article{Unterweger15a,
    author = {Andreas Unterweger and Dominik Engel},
    title = {Resumable Load Data Compression in Smart Grids},
    journal = {IEEE Transactions on Smart Grid},
    year = {2015},
    volume = {6},
    number = {2},
    pages = {919--929},
    month = {March},
    doi = {10.1109/TSG.2014.2364686},
    pdf = {http://www.en-trust.at/papers/Unterweger15a.pdf},
    publisher = {{IEEE}},
    url = {http://dx.doi.org/10.1109/TSG.2014.2364686},
    }