{"id":"https://openalex.org/W2990090413","doi":"https://doi.org/10.1109/smartgridcomm.2019.8909795","title":"DeepOPF: Deep Neural Network for DC Optimal Power Flow","display_name":"DeepOPF: Deep Neural Network for DC Optimal Power Flow","publication_year":2019,"publication_date":"2019-10-01","ids":{"openalex":"https://openalex.org/W2990090413","doi":"https://doi.org/10.1109/smartgridcomm.2019.8909795","mag":"2990090413"},"language":"en","primary_location":{"id":"doi:10.1109/smartgridcomm.2019.8909795","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smartgridcomm.2019.8909795","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm)","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/A5100670527","display_name":"Xiang Pan","orcid":"https://orcid.org/0000-0001-9108-944X"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiang Pan","raw_affiliation_strings":["Department of Information Engineering, The Chinese University of Hong Kong"],"affiliations":[{"raw_affiliation_string":"Department of Information Engineering, The Chinese University of Hong Kong","institution_ids":["https://openalex.org/I177725633"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015470048","display_name":"Tianyu Zhao","orcid":"https://orcid.org/0000-0002-9541-0197"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tianyu Zhao","raw_affiliation_strings":["Department of Information Engineering, The Chinese University of Hong Kong"],"affiliations":[{"raw_affiliation_string":"Department of Information Engineering, The Chinese University of Hong Kong","institution_ids":["https://openalex.org/I177725633"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100602652","display_name":"Minghua Chen","orcid":"https://orcid.org/0000-0003-4763-0037"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Minghua Chen","raw_affiliation_strings":["Department of Information Engineering, The Chinese University of Hong Kong"],"affiliations":[{"raw_affiliation_string":"Department of Information Engineering, The Chinese University of Hong Kong","institution_ids":["https://openalex.org/I177725633"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100670527"],"corresponding_institution_ids":["https://openalex.org/I177725633"],"apc_list":null,"apc_paid":null,"fwci":6.6767,"has_fulltext":false,"cited_by_count":87,"citation_normalized_percentile":{"value":0.97432034,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10454","display_name":"Optimal Power Flow Distribution","score":0.9991000294685364,"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":0.9991000294685364,"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/T10305","display_name":"Power System Optimization and Stability","score":0.9988999962806702,"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/T11941","display_name":"Power System Reliability and Maintenance","score":0.9966999888420105,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"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/leverage","display_name":"Leverage (statistics)","score":0.8660085201263428},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7188496589660645},{"id":"https://openalex.org/keywords/solver","display_name":"Solver","score":0.7152417898178101},{"id":"https://openalex.org/keywords/dimension","display_name":"Dimension (graph theory)","score":0.6396705508232117},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6247150897979736},{"id":"https://openalex.org/keywords/power-flow","display_name":"Power flow","score":0.5361544489860535},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.4873288571834564},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3712141215801239},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.33004552125930786},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.32210981845855713},{"id":"https://openalex.org/keywords/electric-power-system","display_name":"Electric power system","score":0.30597084760665894},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09238696098327637}],"concepts":[{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.8660085201263428},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7188496589660645},{"id":"https://openalex.org/C2778770139","wikidata":"https://www.wikidata.org/wiki/Q1966904","display_name":"Solver","level":2,"score":0.7152417898178101},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.6396705508232117},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6247150897979736},{"id":"https://openalex.org/C2986056383","wikidata":"https://www.wikidata.org/wiki/Q556030","display_name":"Power flow","level":4,"score":0.5361544489860535},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.4873288571834564},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3712141215801239},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.33004552125930786},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.32210981845855713},{"id":"https://openalex.org/C89227174","wikidata":"https://www.wikidata.org/wiki/Q2388981","display_name":"Electric power system","level":3,"score":0.30597084760665894},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09238696098327637},{"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/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/smartgridcomm.2019.8909795","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smartgridcomm.2019.8909795","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1523128466","https://openalex.org/W1932847118","https://openalex.org/W1982929029","https://openalex.org/W1988115241","https://openalex.org/W2037703154","https://openalex.org/W2088624648","https://openalex.org/W2093909370","https://openalex.org/W2104851354","https://openalex.org/W2106836195","https://openalex.org/W2108525724","https://openalex.org/W2109595293","https://openalex.org/W2133726159","https://openalex.org/W2150956978","https://openalex.org/W2165700398","https://openalex.org/W2481683546","https://openalex.org/W2557283755","https://openalex.org/W2592844471","https://openalex.org/W2810195925","https://openalex.org/W2964056134","https://openalex.org/W2990090413","https://openalex.org/W3097981256","https://openalex.org/W6752833377"],"related_works":["https://openalex.org/W2186864281","https://openalex.org/W4255427455","https://openalex.org/W1966025497","https://openalex.org/W68941528","https://openalex.org/W4206451355","https://openalex.org/W8322802","https://openalex.org/W314331466","https://openalex.org/W2049545441","https://openalex.org/W2517153646","https://openalex.org/W3120490799"],"abstract_inverted_index":{"We":[0,51,75,89,119],"develop":[1],"DeepOPF":[2,20,141],"as":[3,161],"a":[4,30,38,55,92,122,168],"Deep":[5],"Neural":[6],"Network":[7],"(DNN)":[8],"based":[9],"approach":[10],"for":[11,29],"solving":[12,27],"direct":[13],"current":[14],"optimal":[15],"power":[16,32],"flow":[17],"(DC-OPF)":[18],"problems.":[19],"is":[21,34],"inspired":[22],"by":[23,156],"the":[24,42,46,81,100,106,113,127,130,153],"observation":[25],"that":[26,140],"DC-OPF":[28,96],"given":[31],"network":[33],"equivalent":[35],"to":[36,58,66,79,97,125,163],"characterizing":[37],"high-dimensional":[39],"mapping":[40,101],"between":[41],"load":[43,73],"inputs":[44],"and":[45,48,53,112],"dispatch":[47],"transmission":[49],"decisions.":[50],"construct":[52],"train":[54],"DNN":[56,87,110],"model":[57,111],"learn":[59],"such":[60],"mapping,":[61],"then":[62],"we":[63],"apply":[64],"it":[65],"obtain":[67],"optimized":[68],"operating":[69],"decisions":[70],"upon":[71],"arbitrary":[72],"inputs.":[74],"adopt":[76],"uniform":[77],"sampling":[78],"address":[80],"over-fitting":[82],"problem":[83],"common":[84],"in":[85,95,167],"generic":[86],"approaches.":[88],"leverage":[90],"on":[91],"useful":[93],"structure":[94],"significantly":[98],"reduce":[99],"dimension,":[102],"subsequently":[103],"cutting":[104],"down":[105],"size":[107],"of":[108,115,129,135,159],"our":[109],"amount":[114],"training":[116],"data/time":[117],"needed.":[118],"also":[120],"design":[121],"post-processing":[123],"procedure":[124],"ensure":[126],"feasibility":[128],"obtained":[131],"solution.":[132],"Simulation":[133],"results":[134],"IEEE":[136],"test":[137],"cases":[138],"show":[139],"always":[142],"generates":[143],"feasible":[144],"solutions":[145],"with":[146],"negligible":[147],"optimality":[148],"loss,":[149],"while":[150],"speeding":[151],"up":[152],"computing":[154],"time":[155],"two":[157],"orders":[158],"magnitude":[160],"compared":[162],"conventional":[164],"approaches":[165],"implemented":[166],"state-of-the-art":[169],"solver.":[170]},"counts_by_year":[{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":12},{"year":2023,"cited_by_count":12},{"year":2022,"cited_by_count":18},{"year":2021,"cited_by_count":18},{"year":2020,"cited_by_count":17},{"year":2019,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}