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Publication
Uncovering abnormal water consumption patterns for sustainability’s sake: a statistical approach
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Advisor(s)
Abstract(s)
Monitoring domestic water usage may help the water utilities uncover abnormal water consumption. In this context, it is necessary to improve and develop tools based on data analysis of households’ meter readings. This study contributes to this goal by using a statistical methodology that detects abnormal water consumption patterns, namely, significant increases or decreases. This approach relies on a combination of methods that analyse billed water consumption time series. The first step is to decompose the time series using Seasonal-Trend decomposition based on Loess. Next, breakpoint analysis is performed on the seasonally adjusted time series to look for changes in the pattern over time. Afterwards, the Mann–Kendall test and Sen’s slope estimator are applied to assess whether there are significant increases or decreases in water consumption. The strategy is applied to water consumption data from the Algarve, Portugal, successfully detecting breakpoints associated with significant increasing or decreasing trends.
Description
Keywords
Breakpoints Time series decomposition Trend analysis Water consumption
Citation
Borges, A., Cordeiro, C., Rosário Ramos, M. (2022). Uncovering Abnormal Water Consumption Patterns for Sustainability’s Sake: A Statistical Approach. In: Bispo, R., Henriques-Rodrigues, L., Alpizar-Jara, R., de Carvalho, M. (eds) Recent Developments in Statistics and Data Science. SPE 2021. Springer Proceedings in Mathematics & Statistics, vol 398. Springer, Cham. https://doi.org/10.1007/978-3-031-12766-3_8
Publisher
Springer