A new scheme for probabilistic forecasting with an ensemble model based on CEEMDAN and AM-MCMC and its application in precipitation forecasting.
Yinan WangZe YuanHaoqi LiuZhenxiang XingYi JiHeng LiQiang FuChongxun MoPublished in: Expert Syst. Appl. (2022)
Keyphrases
- short term
- long term
- generative model
- medium term
- exchange rate
- ensemble methods
- weather forecasting
- monte carlo
- support vector regression
- prediction model
- forecasting accuracy
- predictive model
- forecasting model
- wavelet support vector machine
- learning algorithm
- early warning
- markov chain monte carlo
- graphical models
- bayesian networks
- feature selection