Improving Multivariate Runoff Prediction Through Multistage Novel Hybrid Models
Muhammad Sibtain,
Xianshan Li,
Fei Li
et al.
Abstract:The exploitation of hydropower provides cleaner, sustainable and cheaper energy contrary to fossil fuels.Therefore, hydropower offers prospects to meet the sustainable development goals of the United Nations.These bene ts motivate this study to develop different models for e cient runoff prediction utilizing multivariate hydro-meteorological data. The techniques employed for this purpose include correlation analysis, time series decomposition, sample entropy (SE), and sequence2sequence (S2S) algorithm with spa… Show more
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