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- Title
K-MEANS CLUSTER ANALYSIS OF HOURLY MEASURED POWER DEMAND IN THE DISTRICT HEATING SYSTEM IN KAPOSVÁR - PUTTING THEORETICAL FIGURES INTO PRACTICAL USE.
- Authors
RADTKE, Uwe
- Abstract
In this paper the actual cluster analysis is performed to identify clusters within the Kaposvár district heating system. The data were not measured directly in households but at heat transfer stations. The smart meters were installed at the heat transfer stations for several reasons: to measure and control the required supply temperature and also to find leakages quicker and easier. K-means method was used and four different clusters were identified, which were the following: high demand of heating with long operating hours, low demand of heating with long operating hours and low demand of heating with short operating hours. The details and the determined values will be used for further research. First steps towards identifying new heat sources have also been identified.
- Subjects
KAPOSVAR (Hungary); K-means clustering; HEATING from central stations; CARBON emissions; RENEWABLE energy sources
- Publication
Regional & Business Studies, 2022, Vol 14, Issue 1, p57
- ISSN
2061-2311
- Publication type
Article
- DOI
10.33568/rbs.3343