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Clustering heat users based on consumption data
College of Electronics and Information Engineering, Tongji University, Shanghai, China.
College of Electronics and Information Engineering, Tongji University, Shanghai, China.
Mälardalen University, School of Business, Society and Engineering, Future Energy Center.ORCID iD: 0000-0002-6279-4446
Mälardalen University, School of Business, Society and Engineering, Future Energy Center.ORCID iD: 0000-0002-4720-548X
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2019 (English)In: Energy Procedia, Elsevier Ltd , 2019, Vol. 158, p. 3196-3201Conference paper, Published paper (Refereed)
Abstract [en]

In today's district heating (DH) energy market, it is common to use user functional categories in price models to determine the heat price. However, users in the same category do not necessarily have the same energy consumption patterns, which potentially leads to unfair prices and many other practical issues. Taking into account heat usage characteristics, this work proposes two data-driven methods to cluster DH users to identify similar usage patterns, using practical energy consumption data. Efforts are focused on extracting representative features of users from their daily usage profiles and duration curves, respectively. Employing clustering based on these features, the resulting typical usage patterns and user category distributions are discussed. Our results can serve as potential inputs for future energy price models, demand-side management, and load reshaping strategies.

Place, publisher, year, edition, pages
Elsevier Ltd , 2019. Vol. 158, p. 3196-3201
Keywords [en]
Consumption profile, District heating, Duration curve, User clustering, Electric utilities, Data-driven methods, Energy markets, Future energies, Practical energies, Practical issues, Energy utilization
National Category
Energy Engineering
Identifiers
URN: urn:nbn:se:mdh:diva-43194DOI: 10.1016/j.egypro.2019.01.1010ISI: 000471031703087Scopus ID: 2-s2.0-85063916560OAI: oai:DiVA.org:mdh-43194DiVA, id: diva2:1306905
Conference
10th International Conference on Applied Energy, ICAE 2018, 22 August 2018 through 25 August 2018
Available from: 2019-04-25 Created: 2019-04-25 Last updated: 2019-08-13Bibliographically approved

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Li, HailongSong, Jingjing

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CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf