Mechanism- and data-driven algorithms of electrical energy consumption accounting and prediction for medium and heavy plate rolling

Energy consumption accounting and prediction in the medium and thick plate rolling process are crucial for controlling costs, improving production efficiency, optimizing equipment management, and enhancing the market competitiveness of enterprises. Starting from the perspective of integrating proces...

Full description

Saved in:
Bibliographic Details
Published in:Electronic research archive Vol. 33; no. 1; pp. 381 - 408
Main Authors: Guo, Qiang, Zhou, Zimeng, Li, Jie, Jing, Fengwei
Format: Journal Article
Language:English
Published: AIMS Press 2025
Subjects:
electrical power consumption
electrical power consumption calculation
medium-thick plate rolling
sims model
time-slice method
ISSN:2688-1594, 2688-1594
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Abstract Energy consumption accounting and prediction in the medium and thick plate rolling process are crucial for controlling costs, improving production efficiency, optimizing equipment management, and enhancing the market competitiveness of enterprises. Starting from the perspective of integrating process mechanism and industrial big data, we overcame the difficulties brought by complex and highly nonlinear coupling of process variables, proposed a rolling power consumption accounting algorithm based on time slicing method, and gave a calculation method for the additional power consumption of the main motor for rough rolling and finishing rolling (auxiliary system power consumption, power loss, main motor power consumption deviation); with the help of SIMS model, forward recursion, and reverse recursion pass rolling force estimation strategies are proposed, and the rated power consumption of the main motor was predicted. Furthermore, a random forest regression model of additional power consumption based on data was established, and then a prediction algorithm for the comprehensive power consumption of billet rolling was given. Experiments showed the effectiveness of the proposed method.
AbstractList Energy consumption accounting and prediction in the medium and thick plate rolling process are crucial for controlling costs, improving production efficiency, optimizing equipment management, and enhancing the market competitiveness of enterprises. Starting from the perspective of integrating process mechanism and industrial big data, we overcame the difficulties brought by complex and highly nonlinear coupling of process variables, proposed a rolling power consumption accounting algorithm based on time slicing method, and gave a calculation method for the additional power consumption of the main motor for rough rolling and finishing rolling (auxiliary system power consumption, power loss, main motor power consumption deviation); with the help of SIMS model, forward recursion, and reverse recursion pass rolling force estimation strategies are proposed, and the rated power consumption of the main motor was predicted. Furthermore, a random forest regression model of additional power consumption based on data was established, and then a prediction algorithm for the comprehensive power consumption of billet rolling was given. Experiments showed the effectiveness of the proposed method.
Author Jing, Fengwei
Zhou, Zimeng
Guo, Qiang
Li, Jie
Author_xml – sequence: 1
  givenname: Qiang
  surname: Guo
  fullname: Guo, Qiang
  organization: National Engineering Research Center for Advanced Rolling and Intelligent Manufacturing, University of Science and Technology Beijing, Beijing 100083, China
– sequence: 2
  givenname: Zimeng
  surname: Zhou
  fullname: Zhou, Zimeng
  organization: School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing 100083, China
– sequence: 3
  givenname: Jie
  surname: Li
  fullname: Li, Jie
  organization: National Engineering Research Center for Advanced Rolling and Intelligent Manufacturing, University of Science and Technology Beijing, Beijing 100083, China
– sequence: 4
  givenname: Fengwei
  surname: Jing
  fullname: Jing, Fengwei
  organization: National Engineering Research Center for Advanced Rolling and Intelligent Manufacturing, University of Science and Technology Beijing, Beijing 100083, China
BookMark eNpNkctOwzAQRS0EElC64ge8R4HxI0m9RBWPSiA2sI6m9rh1ldiVk1bqmh8nFIRYzePOnM25ZKcxRWLsWsCtMkrfUcZbCbIEYU7Yhaxms0KURp_-68_ZtO83ACBnAkBXF-zzlewaY-i7gmN03OGAhcthT5Fju0o5DOuu58lzaskOOVhsOUXKqwO3Kfa7bjuENN5am3ZxCHF1xGwzuWCPiU-Zd-O0647JmnB_4NsWB-I5te34ccXOPLY9TX_rhH08PrzPn4uXt6fF_P6lQCXroShLJcEKYS1KJY01tSfh3RJri6A8CoEgbaX90tcelCa39Er7yhhHTiivJmzxw3UJN802hw7zoUkYmuMi5VWDeQi2pQawLisC8iVVuiYwBlGTAu3dzNmRPmE3PyybU99n8n88Ac23jmbU0fzqUF-kWIMw
Cites_doi 10.1155/2017/1048081
10.1243/PIME_PROC_1954_168_023_02
10.1109/TASE.2023.3236306
10.1051/e3sconf/202016606009
10.1007/s42243-024-01227-0
10.1016/j.automatica.2024.112001
10.1016/j.renene.2023.01.045
10.1016/j.eswa.2022.117040
10.23919/CCC50068.2020.9188937
10.1109/TIA.2016.2533483
10.3103/S0967091220120116
10.1109/TAC.2020.3029325
10.1109/UPCON.2018.8597070
10.1109/DDCLS61622.2024.10606881
10.1016/j.energy.2023.127107
10.1016/j.ijmecsci.2013.04.008
10.1007/s00170-012-4405-8
10.1016/j.jmatprotec.2004.02.047
ContentType Journal Article
DBID AAYXX
CITATION
DOA
DOI 10.3934/era.2025019
DatabaseName CrossRef
DOAJ Directory of Open Access Journals
DatabaseTitle CrossRef
DatabaseTitleList CrossRef
Database_xml – sequence: 1
  dbid: DOA
  name: DOAJ Directory of Open Access Journals
  url: https://www.doaj.org/
  sourceTypes: Open Website
DeliveryMethod fulltext_linktorsrc
Discipline Mathematics
EISSN 2688-1594
EndPage 408
ExternalDocumentID oai_doaj_org_article_0a756e0ef5e647e099aa4e304fd8dcf0
10_3934_era_2025019
GroupedDBID AAYXX
ABDBF
ALMA_UNASSIGNED_HOLDINGS
AMVHM
CITATION
GROUPED_DOAJ
IAO
ICD
ITC
RAN
TUS
M~E
ID FETCH-LOGICAL-a327t-55320c11cca2329c97fe1fdba7ca03fa11a02c64fbf7f034edbf34f699ded13f3
IEDL.DBID DOA
ISICitedReferencesCount 0
ISICitedReferencesURI http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=001423575000010&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D
ISSN 2688-1594
IngestDate Thu Oct 09 03:04:16 EDT 2025
Sat Nov 29 01:41:26 EST 2025
IsDoiOpenAccess true
IsOpenAccess true
IsPeerReviewed true
IsScholarly true
Issue 1
Language English
LinkModel DirectLink
MergedId FETCHMERGED-LOGICAL-a327t-55320c11cca2329c97fe1fdba7ca03fa11a02c64fbf7f034edbf34f699ded13f3
OpenAccessLink https://doaj.org/article/0a756e0ef5e647e099aa4e304fd8dcf0
PageCount 28
ParticipantIDs doaj_primary_oai_doaj_org_article_0a756e0ef5e647e099aa4e304fd8dcf0
crossref_primary_10_3934_era_2025019
PublicationCentury 2000
PublicationDate 2025-00-00
2025-01-01
PublicationDateYYYYMMDD 2025-01-01
PublicationDate_xml – year: 2025
  text: 2025-00-00
PublicationDecade 2020
PublicationTitle Electronic research archive
PublicationYear 2025
Publisher AIMS Press
Publisher_xml – name: AIMS Press
References key-10.3934/era.2025019-1
key-10.3934/era.2025019-2
key-10.3934/era.2025019-5
key-10.3934/era.2025019-6
key-10.3934/era.2025019-3
key-10.3934/era.2025019-4
key-10.3934/era.2025019-14
key-10.3934/era.2025019-15
key-10.3934/era.2025019-12
key-10.3934/era.2025019-13
key-10.3934/era.2025019-18
key-10.3934/era.2025019-19
key-10.3934/era.2025019-16
key-10.3934/era.2025019-17
key-10.3934/era.2025019-9
key-10.3934/era.2025019-7
key-10.3934/era.2025019-8
key-10.3934/era.2025019-10
key-10.3934/era.2025019-21
key-10.3934/era.2025019-11
key-10.3934/era.2025019-20
References_xml – ident: key-10.3934/era.2025019-6
  doi: 10.1155/2017/1048081
– ident: key-10.3934/era.2025019-18
  doi: 10.1243/PIME_PROC_1954_168_023_02
– ident: key-10.3934/era.2025019-12
  doi: 10.1109/TASE.2023.3236306
– ident: key-10.3934/era.2025019-9
  doi: 10.1051/e3sconf/202016606009
– ident: key-10.3934/era.2025019-10
  doi: 10.1007/s42243-024-01227-0
– ident: key-10.3934/era.2025019-20
  doi: 10.1016/j.automatica.2024.112001
– ident: key-10.3934/era.2025019-4
  doi: 10.1016/j.renene.2023.01.045
– ident: key-10.3934/era.2025019-13
  doi: 10.1016/j.eswa.2022.117040
– ident: key-10.3934/era.2025019-14
  doi: 10.23919/CCC50068.2020.9188937
– ident: key-10.3934/era.2025019-16
  doi: 10.1109/TIA.2016.2533483
– ident: key-10.3934/era.2025019-5
  doi: 10.3103/S0967091220120116
– ident: key-10.3934/era.2025019-17
– ident: key-10.3934/era.2025019-19
  doi: 10.1109/TAC.2020.3029325
– ident: key-10.3934/era.2025019-21
  doi: 10.1109/UPCON.2018.8597070
– ident: key-10.3934/era.2025019-1
– ident: key-10.3934/era.2025019-11
  doi: 10.1109/DDCLS61622.2024.10606881
– ident: key-10.3934/era.2025019-3
  doi: 10.1016/j.energy.2023.127107
– ident: key-10.3934/era.2025019-7
  doi: 10.1016/j.ijmecsci.2013.04.008
– ident: key-10.3934/era.2025019-8
  doi: 10.1007/s00170-012-4405-8
– ident: key-10.3934/era.2025019-15
  doi: 10.1016/j.jmatprotec.2004.02.047
– ident: key-10.3934/era.2025019-2
SSID ssj0002810046
Score 2.278521
Snippet Energy consumption accounting and prediction in the medium and thick plate rolling process are crucial for controlling costs, improving production efficiency,...
SourceID doaj
crossref
SourceType Open Website
Index Database
StartPage 381
SubjectTerms electrical power consumption
electrical power consumption calculation
medium-thick plate rolling
sims model
time-slice method
Title Mechanism- and data-driven algorithms of electrical energy consumption accounting and prediction for medium and heavy plate rolling
URI https://doaj.org/article/0a756e0ef5e647e099aa4e304fd8dcf0
Volume 33
WOSCitedRecordID wos001423575000010&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D
hasFullText 1
inHoldings 1
isFullTextHit
isPrint
journalDatabaseRights – providerCode: PRVAON
  databaseName: DOAJ Directory of Open Access Journals
  customDbUrl:
  eissn: 2688-1594
  dateEnd: 99991231
  omitProxy: false
  ssIdentifier: ssj0002810046
  issn: 2688-1594
  databaseCode: DOA
  dateStart: 20220101
  isFulltext: true
  titleUrlDefault: https://www.doaj.org/
  providerName: Directory of Open Access Journals
link http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV07T8MwELZQxQAD4inKSx66Ro1rJ45HQFQsrRhA6hY5fkBRX0raSsz8ce6cUGVjYY2jk_Wddb6zfd9HSC_TMpEq8REXmUFSbRVprkSUaWW4GDAzyGwQm5DjcTaZqJeW1Be-CavpgWvg-jEYS13sfOJSIR0kNFoLB0W4t5k1PlTrsVStYuozHBkhE1paN-RxxUXflcgyBBs-cuq0tqAWU3_YUobH5KjJBel9PYcTsucWp-RwtCNSrc7I98hha-60mkcUan6KDzojW2KIonr2voTS_mNe0aWntZ4NQk5d6OejJnRXhpBA9U4UIphZlXg_E0YgaaV4wb6ZhxGIzdsvuppBCkrLmrD7nLwNn14fn6NGNwFgHsh1lKDYg2EMnAP5kjJKese8LbQ0OuZeM6bjgUmFL7z0MRfOFp4LnyplnWXc8wvSWSwX7pJQVhhujLXMIOLgz0JaAzmLi3nCtZVd0vuFMl_V9Bg5lBWIeA6I5w3iXfKAMO9-QU7r8AE8nTeezv_y9NV_GLkmBzin-hDlhnTW5cbdkn2zXU-r8i4soh-Dl9F_
linkProvider Directory of Open Access Journals
openUrl ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Mechanism-+and+data-driven+algorithms+of+electrical+energy+consumption+accounting+and+prediction+for+medium+and+heavy+plate+rolling&rft.jtitle=Electronic+research+archive&rft.au=Guo%2C+Qiang&rft.au=Zhou%2C+Zimeng&rft.au=Li%2C+Jie&rft.au=Jing%2C+Fengwei&rft.date=2025&rft.issn=2688-1594&rft.eissn=2688-1594&rft.volume=33&rft.issue=1&rft.spage=381&rft.epage=408&rft_id=info:doi/10.3934%2Fera.2025019&rft.externalDBID=n%2Fa&rft.externalDocID=10_3934_era_2025019
thumbnail_l http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=2688-1594&client=summon
thumbnail_m http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=2688-1594&client=summon
thumbnail_s http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=2688-1594&client=summon