Preprocessing methodology for time series: An industrial world application case study
Information Sciences(2020)
摘要
•Refining crude oil is a highly complex industrial process, subject to a large number of variables.•We propose a novel preprocessing methodology for obtaining quality data and extracting information from the data involved in the crude oil refining process.•The methodology incorporates dynamic knowledge, treatment of noise, reduction of the dimensionality, feature selection and introduction of slopes.•The proposal is validated through optimization of three state-of-the-art regressors: GB, RF and SVR.•This methodology along with SVR offer useful information for the expert of the refining process.
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关键词
Low quality data,Data preprocessing,Time series forecasting,Refinery,Crude oil
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