A hybrid forecasting model based on the group method of data handling and wavelet decomposition for monthly rivers streamflow data sets

A hybrid forecasting model based on the group method of data handling and wavelet decomposition for monthly rivers streamflow data sets

The natural streamflow of the River is encouraged to forecast through multiple methods. The impartiality of this study is the comparison of the forecast accuracy rates of the time-series (TS) hybrid model with the conventional model. The behavior of the natural monthly statistical chaotic streamflow...

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Bibliographic Details
Main Authors: Shaikh Wajid Ali, Shah Syed Feroz, Pandhiani Siraj Muhammad, Solangi Muhammad Anwar, Farooq Muhammad, Ahmad Hijaz, Kashuri Artion, Jarasthitikulchai Nantapat, Sudsutad Weerawat
Format: Article
Language:English
Published: De Gruyter 2022-11-01
Series:Open Physics
Subjects:
monthly data sets
hybrid
group method and data handling
wavelet decomposition
statistical techniques
Online Access:https://doi.org/10.1515/phys-2022-0066

Internet

https://doi.org/10.1515/phys-2022-0066

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