Using tide for rainfall runoff simulation with feature projection and reversible instance normalization

Abstract From LSTMs (Long Short-Term Memory) to Transformers, various networks have been used for runoff forecasting, though many complex structures may be unnecessary. This study introduces RR-TiDE, a simple model based on the Time Series Dense Encoder. RR-TiDE employs fully Multilayer Perceptron a...

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Váldodahkkit:	Zheng Fang, Simin Qu, Xiaoqiang Yang, Ziheng Li, Peng Shi, Xinjie Xu, Yu Yu
Materiálatiipa:	Artigo
Giella:	Inglês
Almmustuhtton:	Nature Portfolio 2025-02-01
Ráidu:	Scientific Reports
Fáttát:	Runoff forecasting Time series dense encoder Features projection RevIN Transformer CAMELS
Liŋkkat:	https://doi.org/10.1038/s41598-025-91219-1
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