| Autor: |
Roberta Padulano, Giuseppe Del Giudice, Maurizio Giugni, Nicola Fontana, Gianluca Sorgenti Degli Uberti |
| Jazyk: |
angličtina |
| Rok vydání: |
2018 |
| Předmět: |
|
| Zdroj: |
Proceedings, Vol 2, Iss 11, p 587 (2018) |
| Druh dokumentu: |
article |
| ISSN: |
2504-3900 |
| DOI: |
10.3390/proceedings2110587 |
| Popis: |
In the present paper, different clustering techniques were applied to detect significant patterns describing single-household water consumption in a residential neighborhood of the City of Naples, basing on hourly time series aggregated at the monthly scale. Comparisons among results were performed by means of a selection of Clustering Validity Indices, that were adjusted to overcome a bias caused by sparsely populated clusters. The most performant cluster solution proved to be the one resulting from the application of a mixed strategy, namely a Self-Organized Map followed by K-means performed on first level cluster centroids. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
|
