{"id":"https://openalex.org/W4379193233","doi":"https://doi.org/10.3233/jifs-224599","title":"Prediction method of peak carbon emission in power grid based on energy consumption elasticity coefficient","display_name":"Prediction method of peak carbon emission in power grid based on energy consumption elasticity coefficient","publication_year":2023,"publication_date":"2023-06-02","ids":{"openalex":"https://openalex.org/W4379193233","doi":"https://doi.org/10.3233/jifs-224599"},"language":"en","primary_location":{"id":"doi:10.3233/jifs-224599","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jifs-224599","pdf_url":null,"source":{"id":"https://openalex.org/S179157397","display_name":"Journal of Intelligent & Fuzzy Systems","issn_l":"1064-1246","issn":["1064-1246","1875-8967"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent & Fuzzy Systems","raw_type":"journal-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/A5101522627","display_name":"Li Zhao","orcid":"https://orcid.org/0000-0003-3536-3664"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhao Li","raw_affiliation_strings":["China Electric Power International Forwarding Agency Co., Ltd, Beijing, China"],"affiliations":[{"raw_affiliation_string":"China Electric Power International Forwarding Agency Co., Ltd, Beijing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011518451","display_name":"Weiyi Sun","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Weiyi Sun","raw_affiliation_strings":["China Electric Power International Forwarding Agency Co., Ltd, Beijing, China"],"affiliations":[{"raw_affiliation_string":"China Electric Power International Forwarding Agency Co., Ltd, Beijing, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5043976050","display_name":"Dongze Li","orcid":"https://orcid.org/0000-0002-7548-7007"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Dongze Li","raw_affiliation_strings":["China Electric Power International Forwarding Agency Co., Ltd, Beijing, China"],"affiliations":[{"raw_affiliation_string":"China Electric Power International Forwarding Agency Co., Ltd, Beijing, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5043976050"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2674,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.52068902,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":"45","issue":"2","first_page":"2919","last_page":"2930"},"is_retracted":true,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11052","display_name":"Energy Load and Power Forecasting","score":0.9879999756813049,"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":0.9879999756813049,"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/T10223","display_name":"Microgrid Control and Optimization","score":0.9854999780654907,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/T14502","display_name":"High-Voltage Power Transmission Systems","score":0.9854000210762024,"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/acoustic-emission","display_name":"Acoustic emission","score":0.5450456738471985},{"id":"https://openalex.org/keywords/energy-consumption","display_name":"Energy consumption","score":0.542027473449707},{"id":"https://openalex.org/keywords/grid","display_name":"Grid","score":0.44898301362991333},{"id":"https://openalex.org/keywords/greenhouse-gas","display_name":"Greenhouse gas","score":0.42769479751586914},{"id":"https://openalex.org/keywords/elasticity","display_name":"Elasticity (physics)","score":0.4164726138114929},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.41557827591896057},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3427257537841797},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.289061576128006},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.23983898758888245},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.15188708901405334},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.12611454725265503},{"id":"https://openalex.org/keywords/composite-material","display_name":"Composite material","score":0.0861024260520935},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.07561340928077698},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.06997480988502502}],"concepts":[{"id":"https://openalex.org/C174598085","wikidata":"https://www.wikidata.org/wiki/Q746673","display_name":"Acoustic emission","level":2,"score":0.5450456738471985},{"id":"https://openalex.org/C2780165032","wikidata":"https://www.wikidata.org/wiki/Q16869822","display_name":"Energy consumption","level":2,"score":0.542027473449707},{"id":"https://openalex.org/C187691185","wikidata":"https://www.wikidata.org/wiki/Q2020720","display_name":"Grid","level":2,"score":0.44898301362991333},{"id":"https://openalex.org/C47737302","wikidata":"https://www.wikidata.org/wiki/Q167336","display_name":"Greenhouse gas","level":2,"score":0.42769479751586914},{"id":"https://openalex.org/C121854251","wikidata":"https://www.wikidata.org/wiki/Q62932","display_name":"Elasticity (physics)","level":2,"score":0.4164726138114929},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.41557827591896057},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3427257537841797},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.289061576128006},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.23983898758888245},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.15188708901405334},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.12611454725265503},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0861024260520935},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.07561340928077698},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.06997480988502502},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/jifs-224599","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jifs-224599","pdf_url":null,"source":{"id":"https://openalex.org/S179157397","display_name":"Journal of Intelligent & Fuzzy Systems","issn_l":"1064-1246","issn":["1064-1246","1875-8967"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent & Fuzzy Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.9100000262260437,"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W2139361710","https://openalex.org/W2532335422","https://openalex.org/W2787215628","https://openalex.org/W2789155417","https://openalex.org/W2791193733","https://openalex.org/W4296848699","https://openalex.org/W4307342061","https://openalex.org/W4318215376"],"related_works":["https://openalex.org/W2393097294","https://openalex.org/W2889442519","https://openalex.org/W2381188978","https://openalex.org/W2364223432","https://openalex.org/W2988080746","https://openalex.org/W2377260462","https://openalex.org/W2158646189","https://openalex.org/W2472814183","https://openalex.org/W2946311026","https://openalex.org/W2382857567"],"abstract_inverted_index":{"With":[0],"the":[1,8,14,24,37,83,93,113,122,132,137,147,166,182,205,214,219],"implementation":[2],"of":[3,10,29,41,47,63,73,86,95,104,117,124,140,150,161,171,186,209],"China\u2019s":[4],"\u201ctwo-carbon\u201d":[5],"target":[6],"strategy,":[7],"status":[9],"renewable":[11],"energy":[12,54,125,151,162,176],"in":[13,203,218],"power":[15,30,42,172,187,210],"system":[16],"is":[17,33,57,128,153],"gradually":[18],"improving.":[19],"In":[20],"order":[21],"to":[22,35,81],"improve":[23],"carbon":[25,39,49,65,88,106,119,142,168,184,207],"emission":[26,40,50,66,89,107,120,143,169,185,208],"control":[27],"level":[28],"grid,":[31,211],"it":[32],"necessary":[34],"predict":[36],"peak":[38,51,108,144,183,206],"grid.":[43],"A":[44,59],"prediction":[45,220],"method":[46,197],"grid":[48,64,87,105,118,141,173,188],"based":[52],"on":[53,92],"elasticity":[55,127,164,178],"coefficient":[56],"proposed.":[58],"time":[60,84,96],"series":[61,85,97],"model":[62],"samples":[67,145,170],"was":[68,79,189],"constructed,":[69],"and":[70,76,101,112,158,181,201,212],"a":[71],"combination":[72],"combinatorial":[74],"sorting":[75],"machine":[77],"learning":[78],"used":[80],"reconstruct":[82],"peaks.":[90],"Based":[91],"results":[94,193],"reconstruction,":[98],"feature":[99],"extraction":[100],"classification":[102],"training":[103],"are":[109],"carried":[110],"out,":[111],"measurement":[114],"error":[115,215],"correction":[116,216],"under":[121,146],"constraint":[123,149],"consumption":[126,152,163,177],"realized.":[129,154],"Combined":[130],"with":[131],"association":[133],"rule":[134],"mining":[135],"method,":[136],"fusion":[138,159],"processing":[139,160],"elastic":[148],"Through":[155],"characteristic":[156],"detection":[157],"coefficient,":[165],"reconstituted":[167],"constrained":[174],"by":[175],"were":[179],"reconstructed,":[180],"predicted.":[190],"The":[191],"simulation":[192],"show":[194],"that":[195],"this":[196],"has":[198],"high":[199],"accuracy":[200],"convergence":[202],"predicting":[204],"improves":[213],"ability":[217],"process.":[221]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}