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Hourly and Daily Urban Water Demand Predictions Using a Long Short-Term Memory Based Model
Publisher: ASCE
Abstract: This case study uses a long short-term memory (LSTM)–based model to predict short-term urban water demands for the Hefei City of China. The performance of the LSTM-based model is compared with the autoregressive integrated ...
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