University of Oulu

M. d. Castro Tomé, P. Nardelli and L. C. Pereira da Silva, "Flexible event-driven measurement technique for electricity metering with filtering," 2019 IEEE 17th International Conference on Industrial Informatics (INDIN), Helsinki, Finland, 2019, pp. 1071-1076, doi: 10.1109/INDIN41052.2019.8972086

Flexible event-driven measurement technique for electricity metering with filtering

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Author: de Castro Tomé, Mauricio1; Nardelli, Pedro1,2; Pereira da Silva, Luiz Carlos3
Organizations: 1Centre for Wireless Communications, University of Oulu, Finland
2School of Energy Systems, LUT University, Finland
3School of Electrical and Computer Engineering, State University of Campinas, Brazil
Format: article
Version: accepted version
Access: open
Online Access: PDF Full Text (PDF, 0.2 MB)
Persistent link:
Language: English
Published: Institute of Electrical and Electronics Engineers, 2019
Publish Date: 2020-06-24


Non-uniform, event-driven sampling of signals can be advantageous for different applications. In this paper, we focus on event-based sampling strategy for electricity metering purposes. Specifically, we propose an improvement in the enhanced event-driven metering (EDM) technique introduced by Simonov et al. Our solution provides additional flexibility on the types of measurements to be sent, by including the option to reduce the sending of consecutive measurements. Numerical results are presented for 4 different open databases of electricity consumption and consistently show that, in relation to the other options, our proposed strategy leads to both: (i) reduction in the amount of measurements sent, and (ii) improvements on the signal reconstruction by decreasing its reconstruction error. These two aspects are extremely useful in a scenario of massive deployment of measurement devices.

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Series: IEEE International Conference on Industrial Informatics
ISSN: 1935-4576
ISSN-E: 2378-363X
ISSN-L: 1935-4576
ISBN: 978-1-7281-2927-3
ISBN Print: 978-1-7281-2928-0
Pages: 1 - 6
Article number: 8972086
DOI: 10.1109/INDIN41052.2019.8972086
Host publication: 2019 IEEE 17th International Conference on Industrial Informatics (INDIN)
Conference: International Conference on Industrial Informatics
Type of Publication: A4 Article in conference proceedings
Field of Science: 213 Electronic, automation and communications engineering, electronics
Funding: This project is partly supported by Academy of Finland via ee-IoT project (ICT2023/n.319009), via FIREMAN consortium (CHIST-ERA/n.326270), BCDC Energia (SRC/n.292854) and 6Genesis (Flagship/n.318927).
Academy of Finland Grant Number: 319009
Detailed Information: 319009 (Academy of Finland Funding decision)
326270 (Academy of Finland Funding decision)
292854 (Academy of Finland Funding decision)
318927 (Academy of Finland Funding decision)
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