A new scheme for probabilistic forecasting with an ensemble model based on CEEMDAN and AM-MCMC and its application in precipitation forecasting
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Title
A new scheme for probabilistic forecasting with an ensemble model based on CEEMDAN and AM-MCMC and its application in precipitation forecasting
Authors
Keywords
Precipitation, Probabilistic forecasting, Ensemble model, Signal decomposition techniques, Long-short-term memory network, Adaptive Metropolis Markov Chain Monte Carlo
Journal
EXPERT SYSTEMS WITH APPLICATIONS
Volume 187, Issue -, Pages 115872
Publisher
Elsevier BV
Online
2021-09-11
DOI
10.1016/j.eswa.2021.115872
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