ecos2010 - 23rd International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems
du 14 juin au 17 juin 2010
EPFL - Ecole Polytechnique de Lausanne
[en] data mining ; Random Forests ; Kraft recovery boiler ; steam production
[en] A data mining methodology, the random forests, is applied to predict high pressure steam
production from the recovery boiler of a Kraft pulping process. Starting from a large database of raw process data, the goal is to identify the input variables that explain the most significant output variations and to predict the high pressure steam flow.