A Medium and Long-Term Runoff Forecast Method Based on Massive Meteorological Data and Machine Learning Algorithms

A Medium and Long-Term Runoff Forecast Method Based on Massive Meteorological Data and Machine Learning Algorithms

Accurate and reliable predictors selection and model construction are the key to medium and long-term runoff forecast. In this study, 130 climate indexes are utilized as the primary forecast factors. Partial Mutual Information (PMI), Recursive Feature Elimination (RFE) and Classification and Regress...

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Bibliographic Details
Main Authors:	Yujie Li, Dong Wang, Jing Wei, Bo Li, Bin Xu, Yueping Xu, Huaping Huang
Format:	Article
Language:	English
Published:	MDPI AG 2021-05-01
Series:	Water
Subjects:	medium and long-term runoff forecast machine learning feature selection ensemble learning random forest extreme gradient boosting
Online Access:	https://www.mdpi.com/2073-4441/13/9/1308

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