{"id":"https://openalex.org/W4401871082","doi":"https://doi.org/10.1109/access.2024.3446697","title":"An Improved Dynamic Robust Optimization Algorithm and Its Application in Optimal Scheduling of Integrated Energy System Considering Carbon Emission Reduction","display_name":"An Improved Dynamic Robust Optimization Algorithm and Its Application in Optimal Scheduling of Integrated Energy System Considering Carbon Emission Reduction","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4401871082","doi":"https://doi.org/10.1109/access.2024.3446697"},"language":"en","primary_location":{"id":"doi:10.1109/access.2024.3446697","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3446697","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2024.3446697","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5103598484","display_name":"B. Q. Zhou","orcid":"https://orcid.org/0009-0001-5367-9657"},"institutions":[{"id":"https://openalex.org/I22716506","display_name":"Lanzhou University of Technology","ror":"https://ror.org/03panb555","country_code":"CN","type":"education","lineage":["https://openalex.org/I22716506"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bo Zhou","raw_affiliation_strings":["College of Electrical and Information Engineering, Lanzhou University of Technology, Lanzhou, China"],"raw_orcid":"https://orcid.org/0009-0001-5367-9657","affiliations":[{"raw_affiliation_string":"College of Electrical and Information Engineering, Lanzhou University of Technology, Lanzhou, China","institution_ids":["https://openalex.org/I22716506"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103149906","display_name":"Erchao Li","orcid":"https://orcid.org/0000-0001-7050-072X"},"institutions":[{"id":"https://openalex.org/I22716506","display_name":"Lanzhou University of Technology","ror":"https://ror.org/03panb555","country_code":"CN","type":"education","lineage":["https://openalex.org/I22716506"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Erchao Li","raw_affiliation_strings":["College of Electrical and Information Engineering, Lanzhou University of Technology, Lanzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-7050-072X","affiliations":[{"raw_affiliation_string":"College of Electrical and Information Engineering, Lanzhou University of Technology, Lanzhou, China","institution_ids":["https://openalex.org/I22716506"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I22716506"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.3462,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.57802443,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":"12","issue":null,"first_page":"115642","last_page":"115656"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11185","display_name":"Integrated Energy Systems Optimization","score":0.9998000264167786,"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/T11185","display_name":"Integrated Energy Systems Optimization","score":0.9998000264167786,"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/T10603","display_name":"Smart Grid Energy Management","score":0.9968000054359436,"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/T10424","display_name":"Electric Power System Optimization","score":0.9861000180244446,"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":0.6561089158058167},{"id":"https://openalex.org/keywords/reduction","display_name":"Reduction (mathematics)","score":0.5562623143196106},{"id":"https://openalex.org/keywords/scheduling","display_name":"Scheduling (production processes)","score":0.4498502314090729},{"id":"https://openalex.org/keywords/optimization-algorithm","display_name":"Optimization algorithm","score":0.4247647523880005},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.4150400757789612},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.39555662870407104},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11475011706352234}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6561089158058167},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.5562623143196106},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.4498502314090729},{"id":"https://openalex.org/C2987595161","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Optimization algorithm","level":2,"score":0.4247647523880005},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4150400757789612},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.39555662870407104},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11475011706352234},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2024.3446697","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3446697","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:f12b65ac6d284f63a5259df9c8d728d1","is_oa":true,"landing_page_url":"https://doaj.org/article/f12b65ac6d284f63a5259df9c8d728d1","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 12, Pp 115642-115656 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2024.3446697","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3446697","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Affordable and clean energy","score":0.6200000047683716,"id":"https://metadata.un.org/sdg/7"}],"awards":[{"id":"https://openalex.org/G479398804","display_name":null,"funder_award_id":"62063019","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8313727490","display_name":null,"funder_award_id":"22JR5RA241","funder_id":"https://openalex.org/F4320322880","funder_display_name":"Natural Science Foundation of Gansu Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322880","display_name":"Natural Science Foundation of Gansu Province","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W130071847","https://openalex.org/W1590183726","https://openalex.org/W2012023122","https://openalex.org/W2025044382","https://openalex.org/W2319491739","https://openalex.org/W2504127120","https://openalex.org/W2776951995","https://openalex.org/W2805855567","https://openalex.org/W2885085762","https://openalex.org/W2890805775","https://openalex.org/W2928989636","https://openalex.org/W2954642049","https://openalex.org/W2971674115","https://openalex.org/W3019075159","https://openalex.org/W3039405825","https://openalex.org/W3103749338","https://openalex.org/W3118243021","https://openalex.org/W3128363455","https://openalex.org/W4200208156","https://openalex.org/W4211114494","https://openalex.org/W4213307406","https://openalex.org/W4224987930","https://openalex.org/W4282940108","https://openalex.org/W4286504548","https://openalex.org/W4293812273","https://openalex.org/W4303427390","https://openalex.org/W4319163266","https://openalex.org/W4324373885","https://openalex.org/W4327808433","https://openalex.org/W4377195239","https://openalex.org/W4384306242","https://openalex.org/W4385731979","https://openalex.org/W4386583211","https://openalex.org/W4387710212","https://openalex.org/W4390601602","https://openalex.org/W4398208643"],"related_works":["https://openalex.org/W2352590024","https://openalex.org/W4366549320","https://openalex.org/W4287863136","https://openalex.org/W3006015132","https://openalex.org/W2965078190","https://openalex.org/W2140656843","https://openalex.org/W3040644038","https://openalex.org/W4311207076","https://openalex.org/W4407317978","https://openalex.org/W3203633096"],"abstract_inverted_index":{"Under":[0],"the":[1,20,48,61,88,97,121,128,138,146,149,163,168,172,178,187,197,207,214],"background":[2],"of":[3,8,23,51,64,93,123,148,171],"low-carbon":[4,151,217],"and":[5,17,32,46,72,90,145],"efficient":[6],"development":[7],"energy":[9,12,24,28,54,68],"system,":[10],"renewable":[11,27],"will":[13],"be":[14,201],"vigorously":[15],"developed":[16],"gradually":[18],"become":[19],"main":[21],"force":[22],"system.":[25],"However,":[26],"has":[29],"great":[30],"uncertainty":[31],"randomness":[33],"due":[34],"to":[35,42],"its":[36],"own":[37],"formation":[38],"characteristics.":[39],"In":[40],"order":[41],"solve":[43],"this":[44,57],"problem":[45,116],"reduce":[47],"carbon":[49,80,94,198,208],"emission":[50,199,209],"regional":[52],"integrated":[53],"system":[55,70,215],"(RIES),":[56],"paper":[58],"first":[59],"introduces":[60],"optimal":[62],"structure":[63],"RIES":[65],"considering":[66,117],"shared":[67],"storage":[69],"(SESS)":[71],"power-to-gas":[73],"(P2G).":[74],"Secondly,":[75],"a":[76,134],"ladder":[77],"type":[78],"reward-punishment":[79],"trading":[81],"mechanism":[82],"model":[83,136],"is":[84,112,143,154,181,190],"proposed,":[85],"which":[86,212],"considers":[87],"reward":[89],"punishment":[91],"interval":[92],"emissions.":[95],"At":[96],"meantime,":[98],"an":[99],"improved":[100,173],"robust":[101,129],"optimization":[102],"over":[103],"time":[104,189],"(ROOT)":[105],"method":[106,153,175],"based":[107,119,176],"on":[108,120,177,185,194],"index":[109],"contribution":[110,179],"degree":[111,180],"proposed":[113,150],"for":[114],"dynamic":[115,165],"uncertainty,":[118],"effect":[122],"each":[124],"solution":[125,130],"operator":[126],"in":[127],"calculation":[131,169,188],"process.":[132],"Finally,":[133],"scheduling":[135],"with":[137],"lowest":[139],"daily":[140],"operation":[141,152],"cost":[142],"established,":[144],"effectiveness":[147],"verified":[155],"by":[156,183,192,203,205],"comparison.":[157],"Experimental":[158],"results":[159],"show":[160],"that":[161],"under":[162,216],"same":[164],"test":[166],"environment,":[167],"accuracy":[170],"ROOT":[174],"increased":[182],"3.56%":[184],"average,":[186],"shortened":[191],"2.93%":[193],"average.":[195],"Meanwhile,":[196],"can":[200],"reduced":[202],"8.13%":[204],"adopting":[206],"reduction":[210],"measures,":[211],"ensures":[213],"conditions.":[218]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
