Short-Term Water Demand Forecasting Based on LSTM Using Multi-Input Data
Author:
Affiliation:
1. College of Architecture and Civil Engineering, Beijing University of Technology, Beijing 100124, China
Publisher
MDPI
Link
https://www.mdpi.com/2673-4591/69/1/103/pdf
Reference5 articles.
1. A Review of Deep Learning Models for Time Series Prediction;Han;IEEE Sens. J.,2021
2. Time-Series Forecasting with Deep Learning: A Survey;Lim;Philos. Trans. R. Soc. Math. Phys. Eng. Sci.,2021
3. A Short-Term Water Demand Forecasting Model Using Multivariate Long Short-Term Memory with Meteorological Data;Zanfei;J. Hydroinformatics,2022
4. Hourly and Daily Urban Water Demand Predictions Using a Long Short-Term Memory Based Model;Mu;J. Water Resour. Plan. Manag.,2020
5. Long Short-Term Memory;Hochreiter;Neural Comput.,1997
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