Paper Info
Title
Hidden Markov model for municipal waste generation forecasting under uncertainties.
Abstract
•A model-driven learning method is proposed to trace fluctuations dynamically.•The fluctuation forecasting under uncertainties is made possible using the HMM.•Case studies of different scenarios are presented to show the validity of the HMM.•Two forecasting formulas are proposed to cope with two scenarios separately.
Year
DOI
Venue
2016
10.1016/j.ejor.2015.09.018
European Journal of Operational Research
Keywords
Field
DocType
Forecasting,Waste generation,Wavelet de-noising,Hidden Markov model,Gaussian mixture model
Econometrics,Data mining,Mathematical optimization,Forward algorithm,State-transition matrix,Hidden Markov model,Sustainable development,Mathematics,Mixture model,Viterbi algorithm,Wavelet,Municipal solid waste
Journal
Volume
Issue
ISSN
250
2
0377-2217
Citations 
PageRank 
References 
4
0.42
10
Authors
2
Name
Order
Citations
PageRank
P. Jiang150.78
Xiao LIU2598.40