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Smart electricity meters typically upload readings a few times a day. Utilityproviders aim to increase the upload frequency in order to access consumptioninformation in near real time, but the legacy compressors fail to providesufficient savings on the low-bandwidth, high-cost data connection. We proposea new compression method and data format for DLMS smart meter readings, whichis significantly better with frequent uploads and enable reporting everyreading in near real time with the same or lower data sizes than the currentlyavailable compressors in the DLMS protocol.

Stream Compression of DLMS Smart Meter Readings