Adaptive Reservoir Inflow Forecasting Using Variational Mode Decomposition and Long Short-Term Memory

Adaptive Reservoir Inflow Forecasting Using Variational Mode Decomposition and Long Short-Term Memory

Developing an accurate and timely inflow forecast model continues to be an integral part of modern reservoir operation and has been greatly promoted by the combination of data preprocessing and data-driven techniques. This paper integrates variational mode decomposition (VMD) and long short-term mem...

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Bibliographic Details
Main Authors: Hu Hu, Kan Yang, Zhe Yang
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Reservoir inflow
adaptive forecasting
variational mode decomposition
long short-term memory
parameter calibration
Online Access:https://ieeexplore.ieee.org/document/9521785/

Internet

https://ieeexplore.ieee.org/document/9521785/

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