Concepedia

A hybrid Wavelet-CNN-LSTM deep learning model for short-term urban water demand forecasting

Zhengheng Pu, Jieru Yan, Lei Chen, Zhirong Li, Wenchong Tian, Tao Tao, Kunlun Xin

Frontiers of Environmental Science & Engineering · 2022 · 80 citations · 38 references

Concepts

Natural ResourcesHydrologyWater Resources ManagementDemand ForecastingMachine LearningUrban Water ManagementDeep LearningHydrologic Time Series AnalysisReal-time ForecastingShort-term Hydrologic ForecastingUrban Hydrologic ModelingDeep Learning For ForecastingDeep Learning For Time Series ForecastingDeep Learning-based ForecastingShort-term Demand PredictionWater Demand Forecasting

References

38

Long Short-Term Memory

Sepp Hochreiter, Jürgen Schmidhuber · Neural Computation · 1997 · 98.1K citations

Computing, Computer Science, Algorithms +16

Fundamentals of Recurrent Neural Network (RNN) and Long Short-Term Memory (LSTM) network

A. Sherstinsky · Physica D Nonlinear Phenomena · 2020 · 5.4K citations · Full text

Computing, Computer Science, Machine Learning +9

Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting

2018 · 3.3K citations · Full text

Computing, Computer Science, Forecasting +16

The Vanishing Gradient Problem During Learning Recurrent Neural Nets and Problem Solutions

Sepp Hochreiter · International Journal of Uncertainty Fuzziness and Knowledge-Based Systems · 1998 · 2.9K citations

Computing, Computer Science, Forecasting +10

Convolutional, Long Short-Term Memory, fully connected Deep Neural Networks

Tara N. Sainath, Oriol Vinyals, Andrew Senior et al. · 2015 · 1.6K citations

Computing, Computer Science, Computational Linguistics +10