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

Back

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

Journal article

Open access

Peer reviewed

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

Files and links (3)

pdf

xygao2014_aiche_schedule_dbn1.47 MBDownload View

TextSRIDA, Open Access

url

http://dx.doi.org/10.1002/aic.14455View

Published (Version of record)

url

http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000337695500012&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=11d2a86992e85fb529977dad66a846d5View

Author

Metrics

Details

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
Publication Date: 01/07/2014
Identifiers: 99515036902346; WOS:000337695500012
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

Files and links (3)

Metrics

Details

Usage Policy