Identification of Annual Water Demand Patterns in the City of Naples

Proceedings

Fontana, Nicola¹  Uberti, Gianluca Sorgenti Degli²  Padulano, Roberta³  Giudice, Giuseppe Del⁴  Giugni, Maurizio⁵ 

[1]ABC (Acqua Bene Comune) Napoli, Via Argine 929, 80147 Napoli, Italy

[2]Author to whom correspondence should be addressed.

[3]CMCC Foundation—Euromediterranean Center on Climate Change, Via Maiorise, 81043 Capua (CE), Italy

[4]Department of Civil, Architectural and Environmental Engineering, Università degli Studi di Napoli Federico II, Via Claudio 21, 80125 Napoli, Italy

[5]Department of Engineering, Università degli Studi del Sannio, Piazza Roma 21, 82100 Benevento, Italy

关键词: water dem;    modelling;    water dem;    patterns;    clustering;    mixed strategy;   

DOI  :  10.3390/proceedings2110587

学科分类：社会科学、人文和艺术（综合）

来源: mdpi

【 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】

CC BY