A Composite Uncertainty Forecasting Model for Unstable Time Series: Application of Wind Speed and Streamflow Forecasting

A Composite Uncertainty Forecasting Model for Unstable Time Series: Application of Wind Speed and Streamflow Forecasting

Wind speed and streamflow series always are nonlinear and unstable because the effects of chaotic weather systems. These inherent features make them difficult to forecast, especially in a changing environment. To improve forecasting accuracy, an innovation uncertainty forecasting architecture is dev...

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Bibliographic Details
Main Authors: Na Sun, Shuai Zhang, Tian Peng, Jianzhong Zhou, Xinguo Sun
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Unstable time series prediction
hybrid model
GPR
artificial intelligence
combination forecasting
Online Access:https://ieeexplore.ieee.org/document/9244167/

Internet

https://ieeexplore.ieee.org/document/9244167/

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