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Patterns and temporal resolution in commercial and industrial typical load profiles
Mälardalen University, School of Business, Society and Engineering, Future Energy Center.
Mälardalen University, School of Business, Society and Engineering, Future Energy Center.
Mälardalen University, School of Business, Society and Engineering, Future Energy Center. (Energy Technology)ORCID iD: 0000-0002-6279-4446
Mälardalen University, School of Business, Society and Engineering, Future Energy Center.ORCID iD: 0000-0003-4589-7045
2016 (English)Conference paper (Refereed)
Abstract [en]

Load patterns often have a periodicity of a day, week and year, which can be taken advantage of when preprocessing load data before clustering. A typical load profile, which reflects the customer's load for a characteristic day, week or year, could be constructed to reduce the data to be processed during the clustering. Typical Daily Profiles (TDP) and Typical Weekly Profiles (TWP) are compared to see how the time resolution of data affects the clustering. Results show that the number of clusters affects the Davies-Bouldin Index and the Dunn Index more than the temporal resolution of data as well as if TDPs or TWPs are clustered. Further, clustering based on customers' TWP instead of TDP makes it easier to find customers which have equipment turned on during Saturdays. This could be of importance when clustering is used to improve forecasting, distribution planning or tariff design

Place, publisher, year, edition, pages
2016.
Keyword [en]
Smart meter; Big data; Load profiles; Clustering; Preprocessing
National Category
Signal Processing
Identifiers
URN: urn:nbn:se:mdh:diva-34229OAI: oai:DiVA.org:mdh-34229DiVA: diva2:1056302
Conference
The 8th International Conference on Applied Energy – ICAE2016
Available from: 2016-12-14 Created: 2016-12-14 Last updated: 2016-12-27Bibliographically approved

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CiteExportLink to record
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Citation style
  • apa
  • harvard1
  • ieee
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  • vancouver
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More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
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Output format
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  • asciidoc
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