{"id":"https://openalex.org/W4308390319","doi":"https://doi.org/10.1109/iciscae55891.2022.9927637","title":"Forecasting of Operating Mode using BRB-XGBoost for Electrical Smelting Process","display_name":"Forecasting of Operating Mode using BRB-XGBoost for Electrical Smelting Process","publication_year":2022,"publication_date":"2022-09-23","ids":{"openalex":"https://openalex.org/W4308390319","doi":"https://doi.org/10.1109/iciscae55891.2022.9927637"},"language":"en","primary_location":{"id":"doi:10.1109/iciscae55891.2022.9927637","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iciscae55891.2022.9927637","pdf_url":null,"source":{"id":"https://openalex.org/S4363608062","display_name":"2022 IEEE 5th International Conference on Information Systems and Computer Aided Education (ICISCAE)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE 5th International Conference on Information Systems and Computer Aided Education (ICISCAE)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5102903128","display_name":"Weijian Kong","orcid":"https://orcid.org/0000-0001-9030-8778"},"institutions":[{"id":"https://openalex.org/I181326427","display_name":"Donghua University","ror":"https://ror.org/035psfh38","country_code":"CN","type":"education","lineage":["https://openalex.org/I181326427"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Weijian Kong","raw_affiliation_strings":["College of Information Science and Technology Donghua University,Shanghai,China","College of Information Science and Technology Donghua University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"College of Information Science and Technology Donghua University,Shanghai,China","institution_ids":["https://openalex.org/I181326427"]},{"raw_affiliation_string":"College of Information Science and Technology Donghua University, Shanghai, China","institution_ids":["https://openalex.org/I181326427"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086331195","display_name":"Zhiyong Su","orcid":"https://orcid.org/0000-0001-9483-5268"},"institutions":[{"id":"https://openalex.org/I181326427","display_name":"Donghua University","ror":"https://ror.org/035psfh38","country_code":"CN","type":"education","lineage":["https://openalex.org/I181326427"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiyong Su","raw_affiliation_strings":["College of Information Science and Technology Donghua University,Shanghai,China","College of Information Science and Technology Donghua University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"College of Information Science and Technology Donghua University,Shanghai,China","institution_ids":["https://openalex.org/I181326427"]},{"raw_affiliation_string":"College of Information Science and Technology Donghua University, Shanghai, China","institution_ids":["https://openalex.org/I181326427"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5049805080","display_name":"Yinpeng Ding","orcid":null},"institutions":[{"id":"https://openalex.org/I181326427","display_name":"Donghua University","ror":"https://ror.org/035psfh38","country_code":"CN","type":"education","lineage":["https://openalex.org/I181326427"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yinpeng Ding","raw_affiliation_strings":["College of Information Science and Technology Donghua University,Shanghai,China","College of Information Science and Technology Donghua University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"College of Information Science and Technology Donghua University,Shanghai,China","institution_ids":["https://openalex.org/I181326427"]},{"raw_affiliation_string":"College of Information Science and Technology Donghua University, Shanghai, China","institution_ids":["https://openalex.org/I181326427"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5102903128"],"corresponding_institution_ids":["https://openalex.org/I181326427"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.16469625,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"19","issue":null,"first_page":"357","last_page":"362"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11052","display_name":"Energy Load and Power Forecasting","score":0.9929999709129333,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11052","display_name":"Energy Load and Power Forecasting","score":0.9929999709129333,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9890999794006348,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13429","display_name":"Electricity Theft Detection Techniques","score":0.9818000197410583,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6654716730117798},{"id":"https://openalex.org/keywords/mode","display_name":"Mode (computer interface)","score":0.5280008316040039},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5090162754058838},{"id":"https://openalex.org/keywords/boosting","display_name":"Boosting (machine learning)","score":0.4796898066997528},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4786444902420044},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4715942144393921},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4678652286529541},{"id":"https://openalex.org/keywords/decision-rule","display_name":"Decision rule","score":0.4160696268081665},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.41251304745674133},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.33439669013023376},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10438945889472961}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6654716730117798},{"id":"https://openalex.org/C48677424","wikidata":"https://www.wikidata.org/wiki/Q6888088","display_name":"Mode (computer interface)","level":2,"score":0.5280008316040039},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5090162754058838},{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.4796898066997528},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4786444902420044},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4715942144393921},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4678652286529541},{"id":"https://openalex.org/C84839998","wikidata":"https://www.wikidata.org/wiki/Q5249245","display_name":"Decision rule","level":2,"score":0.4160696268081665},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.41251304745674133},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.33439669013023376},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10438945889472961},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iciscae55891.2022.9927637","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iciscae55891.2022.9927637","pdf_url":null,"source":{"id":"https://openalex.org/S4363608062","display_name":"2022 IEEE 5th International Conference on Information Systems and Computer Aided Education (ICISCAE)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE 5th International Conference on Information Systems and Computer Aided Education (ICISCAE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.550000011920929,"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1864224110","https://openalex.org/W2148143831","https://openalex.org/W2279838624","https://openalex.org/W2608270353","https://openalex.org/W2756357106","https://openalex.org/W2805001156","https://openalex.org/W2808124228","https://openalex.org/W2900681352","https://openalex.org/W2910197492","https://openalex.org/W2954085822","https://openalex.org/W2958026736","https://openalex.org/W2963212406","https://openalex.org/W2992861029","https://openalex.org/W3016013196","https://openalex.org/W3027445710","https://openalex.org/W3041664846","https://openalex.org/W3043435488","https://openalex.org/W3045982802","https://openalex.org/W3118505956","https://openalex.org/W3198998283","https://openalex.org/W4245807786"],"related_works":["https://openalex.org/W2125652721","https://openalex.org/W1540371141","https://openalex.org/W4231274751","https://openalex.org/W1549363203","https://openalex.org/W2154063878","https://openalex.org/W3082059448","https://openalex.org/W4313640622","https://openalex.org/W2366650292","https://openalex.org/W2353085322","https://openalex.org/W2322659528"],"abstract_inverted_index":{"The":[0,113,159],"power":[1,32],"load":[2],"fluctuates":[3],"sharply":[4],"due":[5],"to":[6,139,153],"the":[7,14,19,37,44,52,90,94,107,143,155,194],"uncertain":[8,50],"shift":[9,20],"of":[10,43,54,93,129,162,184],"operating":[11,45,96],"modes":[12,46],"in":[13,182],"electrical":[15],"smelting":[16],"process.":[17],"Forecasting":[18],"accurately":[21],"can":[22],"help":[23],"implement":[24],"peak":[25],"shaving":[26],"and":[27,35,49,63,83,121,141,169,189,201],"valley":[28],"filling,":[29],"thus":[30],"saving":[31],"supply":[33],"capacity":[34],"reducing":[36],"electricity":[38],"bill":[39],"for":[40],"enterprises.":[41],"Each":[42],"has":[47,56],"different":[48],"durations,":[51],"forecasting":[53,75],"which":[55,101,147],"some":[57],"difficulties":[58],"such":[59],"as":[60,117],"multi-labels,":[61],"class-imbalance,":[62],"sparse":[64],"shifted":[65,110],"data.":[66],"To":[67],"address":[68],"this":[69],"problem,":[70],"it":[71],"proposes":[72],"a":[73,103,118,148],"two-layer":[74],"model":[76,150,177],"based":[77],"on":[78],"Belief":[79],"Rule":[80],"Base":[81],"(BRB)":[82],"eXtreme":[84],"Gradient":[85],"Boosting":[86],"(XGBoost).":[87],"It":[88],"mines":[89],"coarse-grained":[91],"knowledge":[92],"cyclic":[95],"mode":[97,108],"by":[98],"using":[99],"BRB,":[100],"makes":[102],"binary":[104],"decision":[105,114],"whether":[106],"is":[109,115,124,137,151,199],"or":[111],"not.":[112],"regarded":[116],"new":[119,195],"feature":[120],"its":[122],"value":[123],"added":[125],"into":[126],"each":[127],"sample":[128],"data":[130,161],"set.":[131],"An":[132],"adaptive":[133],"synthetic":[134],"sampling":[135],"approach":[136],"utilized":[138],"process":[140],"rebalance":[142],"training":[144],"set,":[145],"with":[146,171],"XGBoost":[149],"trained":[152],"obtain":[154],"fine-grained":[156],"multi-label":[157],"classification.":[158],"field":[160],"an":[163],"electro-fused":[164],"magnesium":[165],"enterprise":[166],"was":[167],"used,":[168],"compared":[170],"other":[172],"machine":[173],"learning":[174],"methods,":[175],"our":[176],"obtained":[178],"more":[179],"satisfactory":[180],"results":[181],"terms":[183],"prediction":[185,196],"accuracy,":[186],"precision,":[187],"recall,":[188],"F1":[190],"score,":[191],"indicating":[192],"that":[193],"classification":[197],"method":[198],"reasonable":[200],"effective.":[202]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}