University of Oulu

Advanced electricity metering based on event-driven approaches

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Author: de Castro Tomé, Mauricio1,2
Organizations: 1University of Oulu Graduate School
2University of Oulu, Faculty of Information Technology and Electrical Engineering, Communications Engineering, CWC - Networks and Systems (CWC-NS)
Format: ebook
Version: published version
Access: open
Online Access: PDF Full Text (PDF, 6.2 MB)
Persistent link:
Language: English
Published: Oulu : University of Oulu, 2021
Publish Date: 2021-04-22
Thesis type: Doctoral Dissertation
Defence Note: Academic dissertation to be presented with the assent of the Doctoral Training Committee of Information Technology and Electrical Engineering of the University of Oulu for public defence in the OP auditorium (L10), Linnanmaa, on 29 April 2021, at 12 noon
Tutor: Professor Ari Pouttu
Professor Pedro Nardelli
Professor Luiz Carlos Pereira da Silva
Reviewer: Professor Zita Vale
Professor Geert Deconinck
Opponent: Professor Jamshid Aghaei
Professor Zita Vale


The work presents potential improvements in electricity metering from applying an event-driven metering, or EDM, approach, instead of traditional time-based or energy-based metering. The thesis contributes a method for automatically updating the event triggers on the basis of past measurements, thereby decreasing the number of measurements that each consumer property must send. Secondly, the author introduces a series of filters that can be used for further reducing the quantity of data sent and analyses the impact of such filters’ use in reconstruction of the original signal. Finally, the impact of communication errors on the reconstruction of the signal is examined.

These improvements produce greater data compression without sacrificing the quality of the signal reconstruction. The results can serve as a foundation for more efficient deployment of advanced metering infrastructure.

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Tämä työ esittelee mahdollisia saavutettavia etuja, kun sähkön kulutuksen mittauksessa käytetään tapahtuma pohjaista mittausta (event-driven metering, EDM) verrattuna perinteiseen aikapohjaiseen tai energiapohjaiseen mittaamiseen. Väitöstyö tuottaa menetelmän, jossa automaattisesti päivitetään mittaustapahtumaliipaisut pohjautuen aiempiin mittauksiin, jolloin eri kulutuspisteiden (asiakkaiden) lähetettävien mittausten lukumäärää ja datan määrää voidaan merkittävästi vähentää. Lisäksi työssä esitetään useita suodatusmenetelmiä, joilla lähetettävän datan määrää voidaan edelleen vähentää sekä analysoidaan, kuinka hyvin alkuperäinen mittaussignaali voidaan rekonstruoida kyseisiä suodattimia hyödyntäen. Lisäksi väitöstyössä tutkitaan tiedonsiirtovirheiden vaikutusta alkuperäisen mittaussignaalin rekonstruktioon.

Työssä osoitetaan, että ehdotetut parannukset tuottavat tehokkaan datanpakkausmenetelmän alkuperäisen mittaussignaalin laadun kärsimättä. Työn tuloksia voidaan hyödyntää entistä tehokkaampien älysähköverkkojen mittausinfrastruktuurien kehittämisessä.

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Osajulkaisut / Original papers

Osajulkaisut eivät sisälly väitöskirjan elektroniseen versioon / Original papers are not included in the electronic version of the dissertation.

  1. Tome, M. de C., Nardelli, P. H. J., & Alves, H. (2018). Event-Based Electricity Metering: An Autonomous Method to Determine Transmission Thresholds. 2018 IEEE 87th Vehicular Technology Conference (VTC Spring).

    Rinnakkaistallennettu versio / Self-archived version

  2. de Castro Tome, M., Nardelli, P., & Pereira da Silva, L. C. (2019). Flexible event-driven measurement technique for electricity metering with filtering. 2019 IEEE 17th International Conference on Industrial Informatics (INDIN).

    Rinnakkaistallennettu versio / Self-archived version

  3. Nardelli, P. H. J., de Castro Tomé, M., Alves, H., de Lima, C. H. M., & Latva-aho, M. (2016). Maximizing the link throughput between smart meters and aggregators as secondary users under power and outage constraints. Ad Hoc Networks, 41, 57–68.

  4. de Castro Tome, M., Nardelli, P. H. J., & Alves, H. (2019). Long-Range Low-Power Wireless Networks and Sampling Strategies in Electricity Metering. IEEE Transactions on Industrial Electronics, 66(2), 1629–1637.

    Rinnakkaistallennettu versio / Self-archived version

  5. Tome, M. C., Nardelli, P. H. J., Alves, H., & Latva-aho, M. (2016, April). Joint sampling-communication strategies for smart-meters to aggregator link as secondary users. 2016 IEEE International Energy Conference (ENERGYCON).

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Series: Acta Universitatis Ouluensis. C, Technica
ISSN: 0355-3213
ISSN-E: 1796-2226
ISSN-L: 0355-3213
ISBN: 978-952-62-2904-1
ISBN Print: 978-952-62-2903-4
Issue: 784
Type of Publication: G5 Doctoral dissertation (articles)
Field of Science: 213 Electronic, automation and communications engineering, electronics
Funding: The thesis project has been financially supported by the Academy of Finland under its 6G Flagship Programme (with grant 318927); by its Strategic Research Council, through the BCDC Energy project (with grant 292854); and through the SUSTAIN project, jointly funded by the Academy of Finland and Brazil’s National Council for Scientific and Technological Development, CNPq (with grant 490235/2012-3).
Academy of Finland Grant Number: 318927
Detailed Information: 318927 (Academy of Finland Funding decision)
Copyright information: © University of Oulu, 2021. This publication is copyrighted. You may download, display and print it for your own personal use. Commercial use is prohibited.