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Abstract(s)
The purpose of this paper is to compare the performance of five uni-
variate models for the reconstruction of flow rate time series. Errors in the meas-
urements may occur due to problems in the sensor or in the communication sys-
tem with data logger, thus generating missing data in the flow rate time series.
The presence of missing values in flow rate data restricts its use in network op-
eration processes. The performance of seasonal ARIMA, Standard and double
seasonality Holt-Winters, and original and improved Quevedo approach are as-
sessed. The analysis is made considering a real Portuguese case study and 1-
month of flow rate data at 1-hour and 10-minute period. The holidays compared
to the weekdays show great differences in consumption patterns. For this reason,
the effect of forecasting holidays is assessed. Obtained results evidence that the
improved Quevedo model can cope with different time step intervals and type of
day being forecasted, with a reduced computation time
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Citation
Ascenção, C., Ferreira, B., Barreira, R., & Carriço, N. (2021). Comparison of reconstruction methods for water supply systems flow rate time series. In J.R. Galvão et al. (eds), Proceedings of the 1st International Conference on Water Energy Food and Sustainability (ICoWEFS 2021). ICoWEFS 2021. Springer, Cham, 851-859