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|Title||Comparison of Parametric and Nonparametric Techniques for Water Consumption Forecasting|
Forecasting water consumption is an important foundation for the development of water demand management strategy. In this paper, a parametric time series exponential smoothing state space (ETS) method was employed to monthly water consumption for Gaza City/Palestine. It is compared with nonparametric Reweighted Nadaraya-Watson (RNW) method. The root mean square error (RMSE) and mean absolute scaled error (MASE) are used for comparing the forecasting accuracy. This paper finds statistically significant evidence showing that the ETS state space model outperforms RNW approach at forecasting water consumption.
|Published in||International Journal of Scientific & Engineering Research|
|Series||Volume: 8, Number: 1|
|Item link||Item Link|
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