{"id":"https://openalex.org/W4388145515","doi":"https://doi.org/10.1109/tsg.2023.3329459","title":"Stochastic Dynamic Power Dispatch With Human Knowledge Transfer Using Graph-GAN Assisted Inverse Reinforcement Learning","display_name":"Stochastic Dynamic Power Dispatch With Human Knowledge Transfer Using Graph-GAN Assisted Inverse Reinforcement Learning","publication_year":2023,"publication_date":"2023-11-01","ids":{"openalex":"https://openalex.org/W4388145515","doi":"https://doi.org/10.1109/tsg.2023.3329459"},"language":"en","primary_location":{"id":"doi:10.1109/tsg.2023.3329459","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsg.2023.3329459","pdf_url":null,"source":{"id":"https://openalex.org/S59604973","display_name":"IEEE Transactions on Smart Grid","issn_l":"1949-3053","issn":["1949-3053","1949-3061"],"is_oa":false,"is_in_doaj":false,"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 Transactions on Smart Grid","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/A5101961495","display_name":"Junbin Chen","orcid":"https://orcid.org/0000-0001-7373-7351"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junbin Chen","raw_affiliation_strings":["College of Electric Power, South China University of Technology, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-7373-7351","affiliations":[{"raw_affiliation_string":"College of Electric Power, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057697869","display_name":"Tao Yu","orcid":"https://orcid.org/0000-0002-0143-261X"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tao Yu","raw_affiliation_strings":["College of Electric Power, South China University of Technology, Guangzhou, China","Guangzhou Provincial Key Laboratory of Intelligent Measurement and Advanced Metering of Power Grid, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-0143-261X","affiliations":[{"raw_affiliation_string":"College of Electric Power, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]},{"raw_affiliation_string":"Guangzhou Provincial Key Laboratory of Intelligent Measurement and Advanced Metering of Power Grid, Guangzhou, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066865754","display_name":"Zhenning Pan","orcid":"https://orcid.org/0000-0003-0967-8056"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhenning Pan","raw_affiliation_strings":["College of Electric Power, South China University of Technology, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-0967-8056","affiliations":[{"raw_affiliation_string":"College of Electric Power, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5104325435","display_name":"Mengyue Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mengyue Zhang","raw_affiliation_strings":["College of Electric Power, South China University of Technology, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Electric Power, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059128745","display_name":"Guanhua Lu","orcid":"https://orcid.org/0000-0002-9969-7156"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guanhua Lu","raw_affiliation_strings":["College of Electric Power, South China University of Technology, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Electric Power, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001010802","display_name":"Kedong Zhu","orcid":null},"institutions":[{"id":"https://openalex.org/I4392738113","display_name":"China Electric Power Research Institute","ror":"https://ror.org/05ehpzy81","country_code":null,"type":"facility","lineage":["https://openalex.org/I17442442","https://openalex.org/I4392738113"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kedong Zhu","raw_affiliation_strings":["Power Automation Department, China Electric Power Research Institute, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Power Automation Department, China Electric Power Research Institute, Nanjing, China","institution_ids":["https://openalex.org/I4392738113"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.3316,"has_fulltext":false,"cited_by_count":19,"citation_normalized_percentile":{"value":0.88974753,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"15","issue":"3","first_page":"3303","last_page":"3315"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10454","display_name":"Optimal Power Flow Distribution","score":0.9980999827384949,"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/T10454","display_name":"Optimal Power Flow Distribution","score":0.9980999827384949,"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":0.9951000213623047,"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/T10424","display_name":"Electric Power System Optimization","score":0.9914000034332275,"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/reinforcement-learning","display_name":"Reinforcement learning","score":0.7256292700767517},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7176591157913208},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.6993460655212402},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5731316208839417},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.48219719529151917},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.47272175550460815},{"id":"https://openalex.org/keywords/economic-dispatch","display_name":"Economic dispatch","score":0.44807860255241394},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3973328471183777},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3842426836490631},{"id":"https://openalex.org/keywords/electric-power-system","display_name":"Electric power system","score":0.3013554513454437},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.25267353653907776},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.23982661962509155},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.14067184925079346},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10443562269210815}],"concepts":[{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.7256292700767517},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7176591157913208},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.6993460655212402},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5731316208839417},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48219719529151917},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.47272175550460815},{"id":"https://openalex.org/C187633118","wikidata":"https://www.wikidata.org/wiki/Q1317949","display_name":"Economic dispatch","level":4,"score":0.44807860255241394},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3973328471183777},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3842426836490631},{"id":"https://openalex.org/C89227174","wikidata":"https://www.wikidata.org/wiki/Q2388981","display_name":"Electric power system","level":3,"score":0.3013554513454437},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.25267353653907776},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.23982661962509155},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.14067184925079346},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10443562269210815},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tsg.2023.3329459","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsg.2023.3329459","pdf_url":null,"source":{"id":"https://openalex.org/S59604973","display_name":"IEEE Transactions on Smart Grid","issn_l":"1949-3053","issn":["1949-3053","1949-3061"],"is_oa":false,"is_in_doaj":false,"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 Transactions on Smart Grid","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7799999713897705,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[{"id":"https://openalex.org/G2167525414","display_name":null,"funder_award_id":"52207105","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4100560783","display_name":null,"funder_award_id":"2022M721184","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G7102774439","display_name":null,"funder_award_id":"52107131","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8374033643","display_name":null,"funder_award_id":"2023A1515011598","funder_id":"https://openalex.org/F4320337111","funder_display_name":"Basic and Applied Basic Research Foundation of Guangdong Province"},{"id":"https://openalex.org/G8702543137","display_name":null,"funder_award_id":"U2066212","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"},{"id":"https://openalex.org/F4320337111","display_name":"Basic and Applied Basic Research Foundation of Guangdong Province","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":44,"referenced_works":["https://openalex.org/W2068856775","https://openalex.org/W2345210615","https://openalex.org/W2485135858","https://openalex.org/W2740304507","https://openalex.org/W2765818063","https://openalex.org/W2769018706","https://openalex.org/W2790306973","https://openalex.org/W2909906617","https://openalex.org/W2944588927","https://openalex.org/W2953345983","https://openalex.org/W2957829502","https://openalex.org/W2963649364","https://openalex.org/W2966633400","https://openalex.org/W2984666782","https://openalex.org/W2998838789","https://openalex.org/W3003958345","https://openalex.org/W3096328490","https://openalex.org/W3109574507","https://openalex.org/W3118721436","https://openalex.org/W3127561923","https://openalex.org/W3148958990","https://openalex.org/W3157204454","https://openalex.org/W3160856253","https://openalex.org/W3171047448","https://openalex.org/W3173582140","https://openalex.org/W3186445519","https://openalex.org/W3187540433","https://openalex.org/W3193977437","https://openalex.org/W3194784047","https://openalex.org/W3203708674","https://openalex.org/W3207692912","https://openalex.org/W3217183693","https://openalex.org/W4206091906","https://openalex.org/W4211186495","https://openalex.org/W4224437473","https://openalex.org/W4226161947","https://openalex.org/W4283029152","https://openalex.org/W4292103266","https://openalex.org/W4303987558","https://openalex.org/W4308620576","https://openalex.org/W4316468403","https://openalex.org/W4321215119","https://openalex.org/W4327756841","https://openalex.org/W4376561168"],"related_works":["https://openalex.org/W1527081771","https://openalex.org/W3010864523","https://openalex.org/W3095929388","https://openalex.org/W1995410436","https://openalex.org/W2031918653","https://openalex.org/W292509278","https://openalex.org/W1528141314","https://openalex.org/W2799126388","https://openalex.org/W3216902187","https://openalex.org/W2905181627"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"a":[3,54,133],"novel":[4],"approach":[5,56,99,131],"for":[6,72,84,143],"dynamic":[7],"economic":[8],"dispatch":[9,48,89],"(DED)":[10],"of":[11,90,110,145],"distribution":[12,91,126,146],"networks,":[13],"based":[14],"on":[15],"graph-generative":[16],"adversarial":[17],"network":[18,38,80],"(Graph-GAN)":[19],"assisted":[20],"inverse":[21],"reinforcement":[22,141],"learning":[23,142],"(IRL)":[24],"with":[25],"human":[26,138],"knowledge":[27,139],"transfer":[28],"via":[29],"demonstration.":[30],"Firstly,":[31],"the":[32,42,61,70,97,111,129],"proposed":[33,58,98,112,130],"method":[34,113],"utilizes":[35],"graph":[36],"convolutional":[37],"(GCN)":[39],"to":[40,59,124],"capture":[41],"complex":[43],"and":[44,50,104,117],"nonlinear":[45],"relationships":[46],"between":[47],"decision":[49],"system":[51],"state.":[52],"Secondly,":[53],"GAN-based":[55],"is":[57,81,114,121],"imitate":[60],"reward":[62,75],"function":[63],"from":[64],"expert":[65],"demonstration":[66],"data,":[67],"which":[68],"avoids":[69],"need":[71],"manually":[73],"designed":[74],"functions.":[76],"The":[77],"trained":[78],"policy":[79],"then":[82],"used":[83],"decision-making":[85],"in":[86],"real-time":[87],"optimal":[88],"networks.":[92,127,147],"Experimental":[93],"results":[94],"demonstrate":[95],"that":[96,119],"outperforms":[100],"traditional":[101],"IRL":[102],"methods":[103],"achieves":[105],"supply-demand":[106],"balance.":[107],"Computation":[108],"efficiency":[109],"thoroughly":[115],"analyzed":[116],"shows":[118],"it":[120],"practically":[122],"scalable":[123],"large-scale":[125],"Overall,":[128],"presents":[132],"promising":[134],"alternative":[135],"by":[136],"incorporating":[137],"into":[140],"DED":[144]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":12},{"year":2024,"cited_by_count":3}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}