University of Oulu

M. d. Castro Tomé, D. Gutierrez-Rojas, P. H. J. Nardelli, C. Kalalas, L. C. P. d. Silva and A. Pouttu, "Event-Driven Data Acquisition for Electricity Metering: A Tutorial," in IEEE Sensors Journal, vol. 22, no. 6, pp. 5495-5503, 15 March15, 2022, doi: 10.1109/JSEN.2022.3147016

Event-driven data acquisition for electricity metering : a tutorial

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Author: de Castro Tomé, Mauricio1; Gutierrez-Rojas, Daniel2; Nardelli, Pedro H. J.1,2;
Organizations: 1Centre for Wireless Communications, University of Oulu, 90014 Oulu, Finland
2Department of Electrical Engineering, Lappeenranta–Lahti University of Technology, 53850 Lappeenranta, Finland
3Centre Tecnològic de Telecomunicacions de Catalunya (CTTC/CERCA), 08860 Barcelona, Spain
4School of Electrical and Computer Engineering, University of Campinas, Campinas 13083-970, Brazil
Format: article
Version: published version
Access: open
Online Access: PDF Full Text (PDF, 2.3 MB)
Persistent link: http://urn.fi/urn:nbn:fi-fe2022051034122
Language: English
Published: Institute of Electrical and Electronics Engineers, 2022
Publish Date: 2022-05-10
Description:

Abstract

This paper provides a tutorial on the most recent advances of event-driven metering (EDM) while indicating potential extensions to improve its performance. We have revisited the effects on signal reconstruction of (i) a fine-tuned procedure for defining power variation events, (ii) consecutive-measurements filtering that refers to the same event, (iii) spike filtering, and (iv) timeout parameter. We have illustrated via extensive numerical results that EDM can provide high-fidelity signal reconstruction while decreasing the overall number of acquired measurements to be transmitted. Its main advantage is to only store samples that are informative based on predetermined events, avoiding redundancy and decreasing the traffic offered to the underlying communication network. This tutorial highlights the key advantages of EDM and points out promising research directions.

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Series: IEEE sensors journal
ISSN: 1530-437X
ISSN-E: 1558-1748
ISSN-L: 1530-437X
Volume: 22
Issue: 6
Pages: 5495 - 5503
DOI: 10.1109/JSEN.2022.3147016
OADOI: https://oadoi.org/10.1109/JSEN.2022.3147016
Type of Publication: A1 Journal article – refereed
Field of Science: 213 Electronic, automation and communications engineering, electronics
Subjects:
Funding: This work was supported in part by the Academy of Finland (AKA): 6G Flagship, and EnergyNet Fellowship under Grant 321265 and Grant 328869; in part by the FIREMAN Project CHIST-ERA-17-BDSI-003 funded by AKA under Grant 326270; and in part by the Spanish National Foundation under Grant PCI2019-103780
Copyright information: © The Author(s) 2022. This work is licensed under a Creative Commons Attribution 4.0 License. For more information, see https://creativecommons.org/licenses/by/4.0/.
  https://creativecommons.org/licenses/by/4.0/