A novel stacked long short-term memory approach of deep learning for streamflow simulation

• Main Authors: Mirzaei, Majid, Yu, Haoxuan, Dehghani, Adnan, Galavi, Hadi, Shokri, Vahid, Mohsenzadeh Karimi, Sahar, Sookhak, Mehdi
• Format: Article
• Published: MDPI 2021
• Subjects: TA Engineering (General). Civil engineering (General)
• Online Access: http://eprints.um.edu.my/28564/
• Institution: Universiti Malaya

Rainfall-Runoff simulation is the backbone of all hydrological and climate change studies. This study proposes a novel stochastic model for daily rainfall-runoff simulation called Stacked Long Short-Term Memory (SLSTM) relying on machine learning technology. The SLSTM model utilizes only the rainfal...