Rainfall Forecasting using a Bayesian framework and Long Short-Term Memory Multi-model Estimation based on an hourly meteorological monitoring network. Case of study: Andean Ecuadorian Tropical City

Article

Abstract: Rainfall forecasting is a challenging task due to the time-dependencies of the variables and the sto

Palabras claves:

Bayesian optimization, deep learning, long short-Term memory, Rainfall modeling, Time-series forecasting

Autores:

Diego R. Cabrera, Li C., María Quinteros, Mariela Cerrada Lozada, Mario Guallpa, René-Vinicio Sánchez Loja, Sancho F.

Fuentes:

scopus