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Abstract
Smart electricity meters typically upload power consumption readings once or few times a day. Utility providers aim to increase the upload frequency in order to access consumption information in near real time, but the currently used data compressors fail to provide sufficient savings in this new scenario 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 makes it feasible to report every reading in near real time with the same or lower data sizes than the currently available compressors in the DLMS protocol.
Original language | English |
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Title of host publication | ICC 2022 - IEEE International Conference on Communications |
Number of pages | 6 |
Publisher | IEEE |
Publication date | 11 Aug 2022 |
Pages | 5517-5522 |
ISBN (Print) | 978-1-5386-8348-4 |
ISBN (Electronic) | 978-1-5386-8347-7 |
DOIs | |
Publication status | Published - 11 Aug 2022 |
Event | ICC 2022 - IEEE International Conference on Communications - Republic of Seoul, Korea, - Duration: 16 May 2022 → 22 May 2022 |
Conference
Conference | ICC 2022 - IEEE International Conference on Communications |
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Country/Territory | - |
City | Republic of Seoul, Korea |
Period | 16/05/2022 → 22/05/2022 |
Series | IEEE International Conference on Communications |
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ISSN | 1550-3607 |
Keywords
- Data Compression
- Generalized Deduplication
- Smart meter
- DLMS
- IoT
- Compression
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