Forecasting potable water demand in smart cities using the PROPHET time series modeling algorithm

• Tobias Barreto UFF / Grupo Águas do Brasil
• Flavia Bernardini UFF
• Daniel de Oliveira UFF

DOI: https://doi.org/10.5753/wcge.2024.3092

Abstract

Smart Cities (SC) aim at improving services provision through the implementation of new technologies in cities planning, development, operation, and governance. Indicators associated to Basic Sanitation, such as sewage volume index, average per capita water consumption and losses in water distribution, may compose one of the dimensions used for evaluating SCs. In this context, to improve citizens life quality, forecasting the volume of treated water to be distributed is of great importance in cities management. The goal of this paper is to carry out an empirical evaluation of the statistical modeling algorithm PROPHET for time to forecast the volume of water to be distributed in Niterói, RJ. Real data was collected and processed from an organization based in Niterói, RJ.

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