The potential of data exploration methods in identifying the relationship between short-period (daily) water consumption and meteorological factors
The purpose of the work was to identify the hidden relationship between water consumption and meteorological factors, using principal component analysis. In addition, clusters of similar days were identified based on relationships identified by k-means. The study was based on data from the city of T...
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| Format: | Article |
| Language: | English |
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Nicolaus Copernicus University in Toruń
2021-12-01
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| Series: | Bulletin of Geography. Socio-Economic Series |
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| Online Access: | https://doi.org/10.2478/bog-2021-0037 |
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| author | Piasecki Adam Pilarska Agnieszka Golba Radosław |
| author_facet | Piasecki Adam Pilarska Agnieszka Golba Radosław |
| author_sort | Piasecki Adam |
| collection | DOAJ |
| description | The purpose of the work was to identify the hidden relationship between water consumption and meteorological factors, using principal component analysis. In addition, clusters of similar days were identified based on relationships identified by k-means. The study was based on data from the city of Toruń (Poland). The analysis was based on daily data from 2014–2017 divided into three groups. Group I included data from the entire period, Group II- from warm half-years (April–September), and Group III-from cold half-years (January–March and October–December). For Groups I and II the extent of water consumption was explained by two principal components. PC1 includes variables that increase water consumption, and PC2 includes variables that lessen water demand. In Group III, water consumption was not linked to any component. |
| format | Article |
| id | doaj-art-21134454e48e480e8ea8a09b066d0b82 |
| institution | DOAJ |
| issn | 2083-8298 |
| language | English |
| publishDate | 2021-12-01 |
| publisher | Nicolaus Copernicus University in Toruń |
| record_format | Article |
| series | Bulletin of Geography. Socio-Economic Series |
| spelling | doaj-art-21134454e48e480e8ea8a09b066d0b822025-08-20T03:16:26ZengNicolaus Copernicus University in ToruńBulletin of Geography. Socio-Economic Series2083-82982021-12-01545411312210.2478/bog-2021-0037The potential of data exploration methods in identifying the relationship between short-period (daily) water consumption and meteorological factorsPiasecki Adam0Pilarska Agnieszka1Golba Radosław2Nicolaus Copernicus University in Toruń, Faculty of Earth Sciences and Spatial Management, Toruń, PolandNicolaus Copernicus University in Toruń, Faculty of Earth Sciences and Spatial Management, Toruń, PolandNicolaus Copernicus University in Toruń, Faculty of Earth Sciences and Spatial Management, Toruń, PolandThe purpose of the work was to identify the hidden relationship between water consumption and meteorological factors, using principal component analysis. In addition, clusters of similar days were identified based on relationships identified by k-means. The study was based on data from the city of Toruń (Poland). The analysis was based on daily data from 2014–2017 divided into three groups. Group I included data from the entire period, Group II- from warm half-years (April–September), and Group III-from cold half-years (January–March and October–December). For Groups I and II the extent of water consumption was explained by two principal components. PC1 includes variables that increase water consumption, and PC2 includes variables that lessen water demand. In Group III, water consumption was not linked to any component.https://doi.org/10.2478/bog-2021-0037pcak-means methodwater consumptionmeteorological factorstoruńpoland |
| spellingShingle | Piasecki Adam Pilarska Agnieszka Golba Radosław The potential of data exploration methods in identifying the relationship between short-period (daily) water consumption and meteorological factors Bulletin of Geography. Socio-Economic Series pca k-means method water consumption meteorological factors toruń poland |
| title | The potential of data exploration methods in identifying the relationship between short-period (daily) water consumption and meteorological factors |
| title_full | The potential of data exploration methods in identifying the relationship between short-period (daily) water consumption and meteorological factors |
| title_fullStr | The potential of data exploration methods in identifying the relationship between short-period (daily) water consumption and meteorological factors |
| title_full_unstemmed | The potential of data exploration methods in identifying the relationship between short-period (daily) water consumption and meteorological factors |
| title_short | The potential of data exploration methods in identifying the relationship between short-period (daily) water consumption and meteorological factors |
| title_sort | potential of data exploration methods in identifying the relationship between short period daily water consumption and meteorological factors |
| topic | pca k-means method water consumption meteorological factors toruń poland |
| url | https://doi.org/10.2478/bog-2021-0037 |
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