Stream Compression of DLMS Smart Meter Readings
Marcell Feh\'er, Daniel E. Lucani, Morten Tranberg Hansen, Flemming, Enevold Vester
TL;DR
This paper introduces a new compression method and data format for DLMS smart meter readings, enabling near real-time reporting with improved data size efficiency over existing solutions.
Contribution
The paper presents a novel compression technique specifically designed for DLMS smart meters, addressing the need for higher upload frequency and efficient data transmission.
Findings
Significantly better compression performance with frequent uploads
Enables reporting every reading in near real time
Achieves data sizes comparable or smaller than existing compressors
Abstract
Smart electricity meters typically upload readings a few times a day. Utility providers aim to increase the upload frequency in order to access consumption information in near real time, but the legacy compressors fail to provide sufficient savings on the low-bandwidth, high-cost data connection. We propose a new compression method and data format for DLMS smart meter readings, which is significantly better with frequent uploads and enable reporting every reading in near real time with the same or lower data sizes than the currently available compressors in the DLMS protocol.
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Taxonomy
TopicsSmart Grid Energy Management · Power Line Communications and Noise · Optimal Power Flow Distribution