Improved daily streamflow forecasting for semi-arid environments using hybrid machine learning and multi-scale analysis techniques
Sign Up to like & getrecommendations! Published in 2024 at "Journal of Hydroinformatics"
DOI: 10.2166/hydro.2024.263
Abstract: This study aimed to improve daily streamflow forecasting by combining machine learning (ML) models with signal decomposition techniques. Four ML models were hybridized with five families of maximum overlap discrete wavelet transforms (MODWTs). The hybrid… read more here.
Keywords: machine learning; model; standalone models; streamflow forecasting ... See more keywords