{"id":"https://openalex.org/W3209437540","doi":"https://doi.org/10.1109/isgt50606.2022.9817509","title":"OPF-Learn: An Open-Source Framework for Creating Representative AC Optimal Power Flow Datasets","display_name":"OPF-Learn: An Open-Source Framework for Creating Representative AC Optimal Power Flow Datasets","publication_year":2022,"publication_date":"2022-04-24","ids":{"openalex":"https://openalex.org/W3209437540","doi":"https://doi.org/10.1109/isgt50606.2022.9817509","mag":"3209437540"},"language":"en","primary_location":{"id":"doi:10.1109/isgt50606.2022.9817509","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isgt50606.2022.9817509","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE Power &amp; Energy Society Innovative Smart Grid Technologies Conference (ISGT)","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2111.01228","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5015966879","display_name":"Trager Joswig-Jones","orcid":"https://orcid.org/0000-0003-1418-9900"},"institutions":[{"id":"https://openalex.org/I201448701","display_name":"University of Washington","ror":"https://ror.org/00cvxb145","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Trager Joswig-Jones","raw_affiliation_strings":["University of Washington,Seattle,WA,USA","University of Washington, Seattle, WA, USA"],"affiliations":[{"raw_affiliation_string":"University of Washington,Seattle,WA,USA","institution_ids":["https://openalex.org/I201448701"]},{"raw_affiliation_string":"University of Washington, Seattle, WA, USA","institution_ids":["https://openalex.org/I201448701"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089917341","display_name":"Kyri Baker","orcid":"https://orcid.org/0000-0002-6854-9134"},"institutions":[{"id":"https://openalex.org/I188538660","display_name":"University of Colorado Boulder","ror":"https://ror.org/02ttsq026","country_code":"US","type":"education","lineage":["https://openalex.org/I188538660"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kyri Baker","raw_affiliation_strings":["University of Colorado Boulder,Boulder,CO,USA","University of Colorado Boulder, Boulder, CO, USA"],"affiliations":[{"raw_affiliation_string":"University of Colorado Boulder,Boulder,CO,USA","institution_ids":["https://openalex.org/I188538660"]},{"raw_affiliation_string":"University of Colorado Boulder, Boulder, CO, USA","institution_ids":["https://openalex.org/I188538660"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5008068890","display_name":"Ahmed S. Zamzam","orcid":"https://orcid.org/0000-0002-1175-2801"},"institutions":[{"id":"https://openalex.org/I1297288678","display_name":"National Renewable Energy Laboratory","ror":"https://ror.org/036266993","country_code":"US","type":"facility","lineage":["https://openalex.org/I1297288678","https://openalex.org/I1330989302","https://openalex.org/I2800842121"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ahmed S. Zamzam","raw_affiliation_strings":["National Renewable Energy Laboratory,Golden,CO,USA","National Renewable Energy Laboratory, Golden, CO, USA"],"affiliations":[{"raw_affiliation_string":"National Renewable Energy Laboratory,Golden,CO,USA","institution_ids":["https://openalex.org/I1297288678"]},{"raw_affiliation_string":"National Renewable Energy Laboratory, Golden, CO, USA","institution_ids":["https://openalex.org/I1297288678"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5015966879"],"corresponding_institution_ids":["https://openalex.org/I201448701"],"apc_list":null,"apc_paid":null,"fwci":2.26058113,"has_fulltext":false,"cited_by_count":21,"citation_normalized_percentile":{"value":0.85549722,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10454","display_name":"Optimal Power Flow Distribution","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9994000196456909,"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":0.9987999796867371,"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/benchmarking","display_name":"Benchmarking","score":0.828636646270752},{"id":"https://openalex.org/keywords/python","display_name":"Python (programming language)","score":0.7645369172096252},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7202600836753845},{"id":"https://openalex.org/keywords/power-flow","display_name":"Power flow","score":0.618615984916687},{"id":"https://openalex.org/keywords/regular-polygon","display_name":"Regular polygon","score":0.49734094738960266},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.46943190693855286},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.457705020904541},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.45624369382858276},{"id":"https://openalex.org/keywords/interior-point-method","display_name":"Interior point method","score":0.4124913215637207},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3289414644241333},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.32881754636764526},{"id":"https://openalex.org/keywords/electric-power-system","display_name":"Electric power system","score":0.2746334373950958},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2199295163154602},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11634939908981323},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10461565852165222}],"concepts":[{"id":"https://openalex.org/C86251818","wikidata":"https://www.wikidata.org/wiki/Q816754","display_name":"Benchmarking","level":2,"score":0.828636646270752},{"id":"https://openalex.org/C519991488","wikidata":"https://www.wikidata.org/wiki/Q28865","display_name":"Python (programming language)","level":2,"score":0.7645369172096252},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7202600836753845},{"id":"https://openalex.org/C2986056383","wikidata":"https://www.wikidata.org/wiki/Q556030","display_name":"Power flow","level":4,"score":0.618615984916687},{"id":"https://openalex.org/C112680207","wikidata":"https://www.wikidata.org/wiki/Q714886","display_name":"Regular polygon","level":2,"score":0.49734094738960266},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.46943190693855286},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.457705020904541},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.45624369382858276},{"id":"https://openalex.org/C155253501","wikidata":"https://www.wikidata.org/wiki/Q461992","display_name":"Interior point method","level":2,"score":0.4124913215637207},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3289414644241333},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.32881754636764526},{"id":"https://openalex.org/C89227174","wikidata":"https://www.wikidata.org/wiki/Q2388981","display_name":"Electric power system","level":3,"score":0.2746334373950958},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2199295163154602},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11634939908981323},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10461565852165222},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"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/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/isgt50606.2022.9817509","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isgt50606.2022.9817509","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE Power &amp; Energy Society Innovative Smart Grid Technologies Conference (ISGT)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2111.01228","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2111.01228","pdf_url":"https://arxiv.org/pdf/2111.01228","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2111.01228","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2111.01228","pdf_url":"https://arxiv.org/pdf/2111.01228","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[{"display_name":"Affordable and clean energy","score":0.7300000190734863,"id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320306084","display_name":"U.S. Department of Energy","ror":"https://ror.org/01bj3aw27"},{"id":"https://openalex.org/F4320332359","display_name":"Office of Science","ror":"https://ror.org/00mmn6b08"},{"id":"https://openalex.org/F4320337513","display_name":"Workforce Development for Teachers and Scientists","ror":"https://ror.org/05msy3529"},{"id":"https://openalex.org/F4320338290","display_name":"National Renewable Energy Laboratory","ror":"https://ror.org/036266993"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W1918816242","https://openalex.org/W2030641329","https://openalex.org/W2050942782","https://openalex.org/W2086664392","https://openalex.org/W2111416445","https://openalex.org/W2119642783","https://openalex.org/W2123871098","https://openalex.org/W2133919892","https://openalex.org/W2141380252","https://openalex.org/W2273982005","https://openalex.org/W2345649991","https://openalex.org/W2785585202","https://openalex.org/W2963850168","https://openalex.org/W2965171151","https://openalex.org/W2977379144","https://openalex.org/W2989332036","https://openalex.org/W2994480493","https://openalex.org/W2998540693","https://openalex.org/W3038316262","https://openalex.org/W3047526019","https://openalex.org/W3105558219","https://openalex.org/W3114348251","https://openalex.org/W3117855720","https://openalex.org/W3130134189","https://openalex.org/W3136797957","https://openalex.org/W3136913116","https://openalex.org/W3149171286","https://openalex.org/W3200827493","https://openalex.org/W3214004626","https://openalex.org/W6766338240","https://openalex.org/W6769952219","https://openalex.org/W6779850432"],"related_works":["https://openalex.org/W4238897586","https://openalex.org/W435179959","https://openalex.org/W2619091065","https://openalex.org/W2059640416","https://openalex.org/W1490753184","https://openalex.org/W2284465472","https://openalex.org/W2291782699","https://openalex.org/W1993948687","https://openalex.org/W2513275301","https://openalex.org/W2368669694"],"abstract_inverted_index":{"Increasing":[0],"levels":[1],"of":[2,25,54,82,121,136],"renewable":[3],"generation":[4],"motivate":[5],"a":[6,23,51,69,79,94,122],"growing":[7],"interest":[8],"in":[9,36,145],"data-driven":[10],"approaches":[11,35],"for":[12,63],"AC":[13,84,100],"optimal":[14],"power":[15],"flow":[16],"(AC":[17],"OPF)":[18],"to":[19,46,73,129],"manage":[20],"uncertainty;":[21],"however,":[22],"lack":[24],"disciplined":[26],"dataset":[27],"creation":[28],"and":[29,65],"benchmarking":[30],"prohibits":[31],"useful":[32],"comparison":[33],"among":[34],"the":[37,60,83,99,109,137,146],"literature.":[38],"To":[39],"instill":[40],"confidence,":[41],"models":[42],"must":[43],"be":[44],"able":[45],"reliably":[47],"predict":[48],"solutions":[49],"across":[50],"wide":[52,80],"range":[53],"operating":[55],"conditions.":[56],"This":[57],"paper":[58],"develops":[59],"OPF-Learn":[61],"package":[62],"Julia":[64],"Python,":[66],"which":[67],"uses":[68],"computationally":[70],"efficient":[71],"approach":[72],"create":[74],"representative":[75,135],"datasets":[76,131],"that":[77,97,132],"span":[78],"spectrum":[81],"OPF":[85,101],"feasible":[86,102,139],"region.":[87],"Load":[88],"profiles":[89],"are":[90,133],"uniformly":[91],"sampled":[92],"from":[93],"convex":[95,110],"set":[96,111],"contains":[98],"set.":[103],"For":[104],"each":[105],"infeasible":[106],"point":[107],"found,":[108],"is":[112,127],"reduced":[113],"using":[114,119],"infeasibility":[115],"certificates,":[116],"found":[117],"by":[118],"properties":[120],"relaxed":[123],"formulation.":[124],"The":[125],"framework":[126],"shown":[128],"generate":[130],"more":[134],"entire":[138],"space":[140],"versus":[141],"traditional":[142],"techniques":[143],"seen":[144],"literature,":[147],"improving":[148],"machine":[149],"learning":[150],"model":[151],"performance.":[152]},"counts_by_year":[{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":4}],"updated_date":"2026-02-09T09:26:11.010843","created_date":"2021-11-08T00:00:00"}
