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Data Quality Study of AMR Systems
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology.
2015 (English)Independent thesis Advanced level (professional degree), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

Energy metering is a constantly changing field with increasing demands to get more measurement data. The implications are systems that are evolving and improving. It is important for data to be of high quality in these systems. This thesis set out to investigate data quality in advanced meter reading (AMR) systems that are used by energy companies in Sweden today. In order to investigate data quality, a definition was suggested. The definition was used as a basis for interviewing users of AMR systems to figure out the user experience of data quality and to understand what features improve data quality. The interviews were conducted with six different users working on companies that distributes electricity and/or district heating to companies and consumers. The features improving data quality were used to assess data quality in the open source AMR system called Gurux. A redesign was proposed to improve data quality in Gurux. The data quality parameter that needed to be improved the most was data accessibility. The conclusion of this master's thesis includes that there are many systems where data quality can be improved according to the perspectives given by the interviewees. Gurux is a system that can help improve data quality by making changes suggested in this thesis.

Place, publisher, year, edition, pages
2015. , 92 p.
Series
UPTEC IT, ISSN 1401-5749 ; 15009
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:uu:diva-269465OAI: oai:DiVA.org:uu-269465DiVA: diva2:883106
Supervisors
Examiners
Available from: 2015-12-16 Created: 2015-12-16 Last updated: 2015-12-16Bibliographically approved

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CiteExportLink to record
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Citation style
  • apa
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Language
  • de-DE
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Output format
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