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Open AccessProceedings

Identification of Annual Water Demand Patterns in the City of Naples

1
CMCC Foundation—Euromediterranean Center on Climate Change, Via Maiorise, 81043 Capua (CE), Italy
2
Department of Civil, Architectural and Environmental Engineering, Università degli Studi di Napoli Federico II, Via Claudio 21, 80125 Napoli, Italy
3
Department of Engineering, Università degli Studi del Sannio, Piazza Roma 21, 82100 Benevento, Italy
4
ABC (Acqua Bene Comune) Napoli, Via Argine 929, 80147 Napoli, Italy
*
Author to whom correspondence should be addressed.
Presented at the 3rd EWaS International Conference on “Insights on the Water-Energy-Food Nexus”, Lefkada Island, Greece, 27–30 June 2018.
Proceedings 2018, 2(11), 587; https://doi.org/10.3390/proceedings2110587
Published: 3 August 2018
(This article belongs to the Proceedings of EWaS3 2018)
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.
Keywords: water demand modelling; water demand patterns; clustering; mixed strategy; K-means; dendrogram; Self-Organizing Map water demand modelling; water demand patterns; clustering; mixed strategy; K-means; dendrogram; Self-Organizing Map
MDPI and ACS Style

Padulano, R.; Giudice, G.D.; Giugni, M.; Fontana, N.; Uberti, G.S.D. Identification of Annual Water Demand Patterns in the City of Naples. Proceedings 2018, 2, 587.

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