Comparative Study of Multi-Combination Models for Medium- and Long-Term Runoff Prediction in Weihe River
The characteristics of hydrological data include nonconsistency and nonlinearity. The prediction accuracy can be improved through the combination of both the decomposition algorithm and the runoff model. Previous studies have typically focused on the combination of a single decomposition algorithm a...
Main Authors: | Hao Liu, Wei Liu, Jungang Luo, Jing Li |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2023-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/10241998/ |
Similar Items
-
Interpreting runoff forecasting of long short-term memory network: An investigation using the integrated gradient method on runoff data from the Han River Basin
by: Xin Jing, et al.
Published: (2023-12-01) -
Effect of Data Characteristics Inconsistency on Medium and Long-Term Runoff Forecasting by Machine Learning
by: Ping Ai, et al.
Published: (2023-01-01) -
Short-Term Net Load Forecasting with Singular Spectrum Analysis and LSTM Neural Networks
by: Akylas Stratigakos, et al.
Published: (2021-07-01) -
Integrated forecasting method of medium-and long-term runoff by ridge regression based on optimal sub-model selection
by: Binbin Chen, et al.
Published: (2024-03-01) -
Medium- and Long-Term Wind-Power Forecasts, Considering Regional Similarities
by: Xianxun Wang, et al.
Published: (2023-02-01)