%0 Journal Article
%T Operational Predictive Model for a Municipal Waste Incinerator: A Spanish Case Study
%J International Journal of Environmental Research
%I University of Tehran/Springer
%Z 1735-6865
%A Jimenez, L.
%A Mateo, J.M.
%A Lopez-Arevalo, I.
%A Oms, M.T.
%D 2011
%\ 07/01/2011
%V 5
%N 3
%P 639-650
%! Operational Predictive Model for a Municipal Waste Incinerator: A Spanish Case Study
%K Incineration
%K MWI
%K Multivariate analysis
%K neural network
%R 10.22059/ijer.2011.371
%X This paper describes a study of operational parameters by using the multivariate data analysis and neural networks for a municipal waste incinerator located in Majorca (Spain). The basis of the study also includes the chemometric techniques: linear multivariate regression to develop a model with certain predictive capabilities; linear principal component analysis, which allow the number of variables to be reduced from 17 to 4, thus fostering visualization in a low-dimension space; and linear discriminant analysis to categorize plant data accordingto the month (probability ≈ 70%). Neural network predictive capability was good, with relative errors around 6-8%. These techniques allow all the variables to be analysed simultaneously and focus on the variables which have a significant impact. In this way, the interrelationships between sets of variables, causal relations among input/output variables, seasonal motivated deviations as well as observation variations have been identified.
%U https://ijer.ut.ac.ir/article_371_6a2ddd9c2c0992c4df4d60d32a9ac2b7.pdf