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Resumable Load Data Compression in Smart Grids

  • Department of Computer Science, University of Salzburg

Research output: Contribution to journalArticlepeer-review

Abstract

We propose a compression approach for load profile data, which addresses practical requirements of smart metering. By providing linear time complexity with respect to the input data size, our compression approach is suitable for low-complexity encoding and decoding for storage and transmission of load profile data in smart grids. Furthermore, it allows for resumability with very low overhead on error-prone transmission lines, which is an important feature not available for standard time series compression schemes. In terms of compression efficiency, our approach outperforms transmission encodings that are currently used for electricity metering by an order of magnitude. © 2014 IEEE.
Original languageEnglish
Pages (from-to)919-929
Number of pages11
JournalIEEE Transactions on Smart Grid
Volume6
Issue number2
DOIs
Publication statusPublished - 2015

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

Keywords

  • Compression
  • evaluation
  • load data
  • resumability
  • Compaction
  • Digital storage
  • Electric measuring instruments
  • Encoding (symbols)
  • Monolithic microwave integrated circuits
  • Smart power grids
  • Compression approach
  • Compression efficiency
  • Linear time complexity
  • Load data
  • Low complexity encoding
  • Practical requirements
  • Data compression

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