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This section presents and discusses the results of the proposed M-LSTM model in the short-term forecasting of the presented case study. These results highlight the prediction performance of the proposed M-LSTM, compared to the benchmark model used in this study. The metrics that refer to the task of predicting just the following hourly value of water demand are reported in Table 1.

Table 1

Metrics for 1-h prediction

1-h prediction
M-LSTMMLPSARIMA
 1.649 2.169 2.432 
 0.864 1.067 1.084 
 0.934 0.913 0.897 
 8.82 10.427 10.665 
1-h prediction
M-LSTMMLPSARIMA
 1.649 2.169 2.432 
 0.864 1.067 1.084 
 0.934 0.913 0.897 
 8.82 10.427 10.665 

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