Optimized Scheduling of Smart Meter Data Access: A Parametric Study

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

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.
Original languageEnglish
Title of host publication2018 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm)
Number of pages6
PublisherIEEE
Publication date29 Oct 2018
ISBN (Print)978-1-5386-7955-5
ISBN (Electronic) 978-1-5386-7954-8
DOIs
Publication statusPublished - 29 Oct 2018
EventIEEE International Conference on Smart Grid Communications, Control and Computing Technologies for Smart Grids 2018 (SmartGridComm'18) - Hotel Hvide Hus Comwell, Aalborg, Denmark
Duration: 29 Oct 201831 Oct 2018
http://sgc2018.ieee-smartgridcomm.org/

Conference

ConferenceIEEE International Conference on Smart Grid Communications, Control and Computing Technologies for Smart Grids 2018 (SmartGridComm'18)
LocationHotel Hvide Hus Comwell
CountryDenmark
CityAalborg
Period29/10/201831/10/2018
Internet address

Fingerprint

Smart meters
Scheduling
Degradation

Keywords

  • Smart Grid, adaptive scheduling, AMI, QoS, information quality, voltage quality monitoring

Cite this

Kemal, M. S., Olsen, R. L., & Schwefel, H-P. (2018). Optimized Scheduling of Smart Meter Data Access: A Parametric Study. In 2018 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm) IEEE. https://doi.org/10.1109/SmartGridComm.2018.8587478
Kemal, Mohammed Seifu ; Olsen, Rasmus Løvenstein ; Schwefel, Hans-Peter. / Optimized Scheduling of Smart Meter Data Access : A Parametric Study. 2018 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm). IEEE, 2018.
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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.",
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Kemal, MS, Olsen, RL & Schwefel, H-P 2018, Optimized Scheduling of Smart Meter Data Access: A Parametric Study. in 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, Denmark, 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.

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

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AU - Kemal, Mohammed Seifu

AU - Olsen, Rasmus Løvenstein

AU - Schwefel, Hans-Peter

PY - 2018/10/29

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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.

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DO - 10.1109/SmartGridComm.2018.8587478

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SN - 978-1-5386-7955-5

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

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