A novel integrated learning model for rainfall prediction CEEMD- FCMSE -Stacking-Reference-Cited by-同舟云学术

A novel integrated learning model for rainfall prediction CEEMD- FCMSE -Stacking

Published:2022-05-21 Issue:3 Volume:15 Page:1995-2005
ISSN:1865-0473
Container-title:Earth Science Informatics
language:en
Short-container-title:Earth Sci Inform

Author:

Zhang Xianqi,Wang Kai,Zheng Zhiwen

Publisher

Springer Science and Business Media LLC

Subject

General Earth and Planetary Sciences

Link

https://link.springer.com/content/pdf/10.1007/s12145-022-00819-2.pdf

Reference19 articles.

1. Bidroha B, Maria N, Alan OC (2020) New Approach to Multisite Downscaling of Precipitation by Identifying Different Set of Atmospheric Predictor Variables. J Hydrol Eng 25(5). https://doi.org/10.1061/(ASCE)HE.1943-5584.0001900

2. Dong N, Ke KW, Li JS (2020) Short-term photovoltaic power generation forecasting based on random forest feature selection and CEEMD: A case study[J]. Appl Soft Comput J 93:combined model based on ensemble EMD106389

3. Fethi O, Mourad L, Soltane A (2018) Improvement of rainfall estimation from MSG data using Random Forests classification and regression[J]. Atmos Res 211:62–72

4. Gorai AK, Himanshu VK, Santi C (2021) Development of ANN-Based Universal Predictor for Prediction of Blast-Induced Vibration Indicators and its Performance Comparison with Existing Empirical Models[J]. Mining Metall Explor 38(5)

5. Guo J, Guo SL, Chen H (2010) ANN statistical downscaling method for predicting precipitation changes in the Han River basin[J]. J Wuhan Univ (Engineering Edition) 43(02):148–152

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