Refinery scheduling with varying crude: A deep belief network classification and multimodel approach

X Gao; C Shang; Y Jiang; D Huang; T Chen

doi:10.1002/aic.14455

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Refinery scheduling with varying crude: A deep belief network classification and multimodel approach

Journal article

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Refinery scheduling with varying crude: A deep belief network classification and multimodel approach

X Gao, C Shang, Y Jiang, D Huang and T Chen

AICHE JOURNAL, Vol.60(7), pp.2525-2532

01/07/2014

DOI: https://doi.org/10.1002/aic.14455

Abstract

Science & Technology

Technology

Engineering

Chemical

Engineering

deep belief network

refinery scheduling

multimodel

varying crude

OPTIMIZATION

OPERATIONS

UNCERTAINTY

MODELS

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Title: Refinery scheduling with varying crude: A deep belief network classification and multimodel approach
Creators: X Gao
C Shang
Y Jiang
D Huang
T Chen
Publication Details: AICHE JOURNAL, Vol.60(7), pp.2525-2532
Publisher: WILEY-BLACKWELL
Date published: 01/07/2014
Date submitted: 18/07/2014
Identifiers: 99515036902346
Academic Unit: School of Chemistry and Chemical Engineering
Language: English
Resource Type: Journal article

Refinery scheduling with varying crude: A deep belief network classification and multimodel approach

Abstract

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