Identification of Annual Water Demand Patterns in the City of Naples

Proceedings

Gianluca Sorgenti Degli Uberti¹  Maurizio Giugni²  Giuseppe Del Giudice²  Roberta Padulano²  Nicola Fontana³ 

[1] ABC (Acqua Bene Comune) Napoli, Via Argine 929, 80147 Napoli, Italy;CMCC Foundation—Euromediterranean Center on Climate Change, Via Maiorise, 81043 Capua (CE), Italy;Department of Engineering, Università degli Studi del Sannio, Piazza Roma 21, 82100 Benevento, Italy;

关键词: water demand modelling;    water demand patterns;    clustering;    mixed strategy;    K-means;    dendrogram;    Self-Organizing Map;   

DOI  :  10.3390/proceedings2110587

来源: DOAJ

【 摘 要 】

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.

【 授权许可】

Unknown