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Clustering heat use...
Clustering heat users based on consumption data
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- Du, Y. (author)
- College of Electronics and Information Engineering, Tongji University, Shanghai, China
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- Wang, C. (author)
- College of Electronics and Information Engineering, Tongji University, Shanghai, China
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- Li, Hailong, 1976- (author)
- Mälardalens högskola,Framtidens energi
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- Song, Jingjing, 1983- (author)
- Mälardalens högskola,Framtidens energi
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- Li, B. (author)
- School of Mechanical Engineering, Hubei University of Arts and Science, Hubei Province, China
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(creator_code:org_t)
- Elsevier Ltd, 2019
- 2019
- English.
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In: Energy Procedia. - : Elsevier Ltd. - 1876-6102. ; , s. 3196-3201
- Related links:
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https://doi.org/10.1...
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https://doi.org/10.1...
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https://urn.kb.se/re...
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Abstract
Subject headings
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- 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.
Subject headings
- TEKNIK OCH TEKNOLOGIER -- Maskinteknik -- Energiteknik (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Mechanical Engineering -- Energy Engineering (hsv//eng)
Keyword
- Consumption profile
- District heating
- Duration curve
- User clustering
- Electric utilities
- Data-driven methods
- Energy markets
- Future energies
- Practical energies
- Practical issues
- Energy utilization
Publication and Content Type
- ref (subject category)
- kon (subject category)
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