Optimized Scheduling of Smart Meter Data Access: A Parametric Study

Mohammed Seifu Kemal; Rasmus Løvenstein Olsen; Hans-Peter Schwefel

doi:10.1109/SmartGridComm.2018.8587478

Optimized Scheduling of Smart Meter Data Access: A Parametric Study

Mohammed Seifu Kemal, Rasmus Løvenstein Olsen, Hans-Peter Schwefel

Publikation: Bidrag til bog/antologi/rapport/konference proceeding › Konferenceartikel i proceeding › Forskning › peer review

5 Citationer (Scopus)

Abstract

Smart meter data is usually accessed periodically
with low time granularity, which creates limitations for near
real-time information. This paper first introduces information
quality metrics that can be used to optimize real-time data
access to smart meter data. Then, a systematic parametric
study assesses the impact of smart meter access scheduling on
information quality. Finally, the paper evaluates a previously
proposed heuristic optimization of scheduling of smart meter data
access. The result shows that the heuristic optimization algorithm
in all investigated scenarios shows less than 15% degradation as
compared to the achievable best schedule.

Originalsprog	Engelsk
Titel	2018 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm)
Antal sider	6
Forlag	IEEE
Publikationsdato	29 okt. 2018
ISBN (Trykt)	978-1-5386-7955-5
ISBN (Elektronisk)	978-1-5386-7954-8
DOI	https://doi.org/10.1109/SmartGridComm.2018.8587478
Status	Udgivet - 29 okt. 2018
Begivenhed	IEEE International Conference on Smart Grid Communications, Control and Computing Technologies for Smart Grids 2018 (SmartGridComm'18) - Hotel Hvide Hus Comwell, Aalborg, Danmark Varighed: 29 okt. 2018 → 31 okt. 2018 http://sgc2018.ieee-smartgridcomm.org/

Konference

Konference	IEEE International Conference on Smart Grid Communications, Control and Computing Technologies for Smart Grids 2018 (SmartGridComm'18)
Lokation	Hotel Hvide Hus Comwell
Land/Område	Danmark
By	Aalborg
Periode	29/10/2018 → 31/10/2018
Internetadresse	http://sgc2018.ieee-smartgridcomm.org/

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10.1109/SmartGridComm.2018.8587478

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Citationsformater

@inproceedings{9c915435ac5b40d19f6bdc210b43ffc3,

title = "Optimized Scheduling of Smart Meter Data Access: A Parametric Study",

abstract = "Smart meter data is usually accessed periodicallywith low time granularity, which creates limitations for nearreal-time information. This paper first introduces informationquality metrics that can be used to optimize real-time dataaccess to smart meter data. Then, a systematic parametricstudy assesses the impact of smart meter access scheduling oninformation quality. Finally, the paper evaluates a previouslyproposed heuristic optimization of scheduling of smart meter dataaccess. The result shows that the heuristic optimization algorithmin all investigated scenarios shows less than 15% degradation ascompared to the achievable best schedule.",

keywords = "Smart Grid, adaptive scheduling, AMI, QoS, information quality, voltage quality monitoring",

author = "Kemal, {Mohammed Seifu} and Olsen, {Rasmus L{\o}venstein} and Hans-Peter Schwefel",

year = "2018",

month = oct,

day = "29",

doi = "10.1109/SmartGridComm.2018.8587478",

language = "English",

isbn = "978-1-5386-7955-5",

booktitle = "2018 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm)",

publisher = "IEEE",

address = "United States",

note = "IEEE International Conference on Smart Grid Communications, Control and Computing Technologies for Smart Grids 2018 (SmartGridComm'18), SmartGridComm ; Conference date: 29-10-2018 Through 31-10-2018",

url = "http://sgc2018.ieee-smartgridcomm.org/",

}

Kemal, MS, Olsen, RL & Schwefel, H-P 2018, Optimized Scheduling of Smart Meter Data Access: A Parametric Study. i 2018 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm). IEEE, IEEE International Conference on Smart Grid Communications, Control and Computing Technologies for Smart Grids 2018 (SmartGridComm'18), Aalborg, Danmark, 29/10/2018. https://doi.org/10.1109/SmartGridComm.2018.8587478

Optimized Scheduling of Smart Meter Data Access: A Parametric Study. / Kemal, Mohammed Seifu; Olsen, Rasmus Løvenstein ; Schwefel, Hans-Peter.
2018 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm). IEEE, 2018.

Publikation: Bidrag til bog/antologi/rapport/konference proceeding › Konferenceartikel i proceeding › Forskning › peer review

TY - GEN

T1 - Optimized Scheduling of Smart Meter Data Access

T2 - IEEE International Conference on Smart Grid Communications, Control and Computing Technologies for Smart Grids 2018 (SmartGridComm'18)

AU - Kemal, Mohammed Seifu

AU - Olsen, Rasmus Løvenstein

AU - Schwefel, Hans-Peter

PY - 2018/10/29

Y1 - 2018/10/29

N2 - Smart meter data is usually accessed periodicallywith low time granularity, which creates limitations for nearreal-time information. This paper first introduces informationquality metrics that can be used to optimize real-time dataaccess to smart meter data. Then, a systematic parametricstudy assesses the impact of smart meter access scheduling oninformation quality. Finally, the paper evaluates a previouslyproposed heuristic optimization of scheduling of smart meter dataaccess. The result shows that the heuristic optimization algorithmin all investigated scenarios shows less than 15% degradation ascompared to the achievable best schedule.

AB - Smart meter data is usually accessed periodicallywith low time granularity, which creates limitations for nearreal-time information. This paper first introduces informationquality metrics that can be used to optimize real-time dataaccess to smart meter data. Then, a systematic parametricstudy assesses the impact of smart meter access scheduling oninformation quality. Finally, the paper evaluates a previouslyproposed heuristic optimization of scheduling of smart meter dataaccess. The result shows that the heuristic optimization algorithmin all investigated scenarios shows less than 15% degradation ascompared to the achievable best schedule.

KW - Smart Grid, adaptive scheduling, AMI, QoS, information quality, voltage quality monitoring

U2 - 10.1109/SmartGridComm.2018.8587478

DO - 10.1109/SmartGridComm.2018.8587478

M3 - Article in proceeding

SN - 978-1-5386-7955-5

BT - 2018 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm)

PB - IEEE

Y2 - 29 October 2018 through 31 October 2018

ER -

Optimized Scheduling of Smart Meter Data Access: A Parametric Study

Abstract

Konference

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