{"id":"https://openalex.org/W2578211507","doi":"https://doi.org/10.1109/isgt.2017.8086083","title":"Supervised learning for optimal power flow as a real-time proxy","display_name":"Supervised learning for optimal power flow as a real-time proxy","publication_year":2017,"publication_date":"2017-04-01","ids":{"openalex":"https://openalex.org/W2578211507","doi":"https://doi.org/10.1109/isgt.2017.8086083","mag":"2578211507"},"language":"en","primary_location":{"id":"doi:10.1109/isgt.2017.8086083","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isgt.2017.8086083","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT)","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/A5010093711","display_name":"Raphael Canyasse","orcid":null},"institutions":[{"id":"https://openalex.org/I174306211","display_name":"Technion \u2013 Israel Institute of Technology","ror":"https://ror.org/03qryx823","country_code":"IL","type":"education","lineage":["https://openalex.org/I174306211"]}],"countries":["IL"],"is_corresponding":true,"raw_author_name":"Raphael Canyasse","raw_affiliation_strings":["Department of Electrical Engineering Technion, Israel Institute of Technology"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering Technion, Israel Institute of Technology","institution_ids":["https://openalex.org/I174306211"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088301119","display_name":"Gal Dalal","orcid":"https://orcid.org/0000-0002-3166-4251"},"institutions":[{"id":"https://openalex.org/I174306211","display_name":"Technion \u2013 Israel Institute of Technology","ror":"https://ror.org/03qryx823","country_code":"IL","type":"education","lineage":["https://openalex.org/I174306211"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Gal Dalal","raw_affiliation_strings":["Department of Electrical Engineering Technion, Israel Institute of Technology"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering Technion, Israel Institute of Technology","institution_ids":["https://openalex.org/I174306211"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5036260775","display_name":"Shie Mannor","orcid":"https://orcid.org/0000-0003-4439-7647"},"institutions":[{"id":"https://openalex.org/I174306211","display_name":"Technion \u2013 Israel Institute of Technology","ror":"https://ror.org/03qryx823","country_code":"IL","type":"education","lineage":["https://openalex.org/I174306211"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Shie Mannor","raw_affiliation_strings":["Department of Electrical Engineering Technion, Israel Institute of Technology"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering Technion, Israel Institute of Technology","institution_ids":["https://openalex.org/I174306211"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5010093711"],"corresponding_institution_ids":["https://openalex.org/I174306211"],"apc_list":null,"apc_paid":null,"fwci":1.8635,"has_fulltext":false,"cited_by_count":35,"citation_normalized_percentile":{"value":0.86059936,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"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/T10305","display_name":"Power System Optimization and Stability","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/T10424","display_name":"Electric Power System Optimization","score":0.9994999766349792,"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/proxy","display_name":"Proxy (statistics)","score":0.7777203917503357},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.7471427917480469},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.730010986328125},{"id":"https://openalex.org/keywords/power-flow","display_name":"Power flow","score":0.6814332604408264},{"id":"https://openalex.org/keywords/time-horizon","display_name":"Time horizon","score":0.5280333757400513},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.5025959014892578},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.490804523229599},{"id":"https://openalex.org/keywords/predictive-power","display_name":"Predictive power","score":0.4327077567577362},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.3986336588859558},{"id":"https://openalex.org/keywords/electric-power-system","display_name":"Electric power system","score":0.3723028302192688},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3625197410583496},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.28041622042655945},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11453118920326233}],"concepts":[{"id":"https://openalex.org/C2780148112","wikidata":"https://www.wikidata.org/wiki/Q1432581","display_name":"Proxy (statistics)","level":2,"score":0.7777203917503357},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.7471427917480469},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.730010986328125},{"id":"https://openalex.org/C2986056383","wikidata":"https://www.wikidata.org/wiki/Q556030","display_name":"Power flow","level":4,"score":0.6814332604408264},{"id":"https://openalex.org/C28761237","wikidata":"https://www.wikidata.org/wiki/Q7805321","display_name":"Time horizon","level":2,"score":0.5280333757400513},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5025959014892578},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.490804523229599},{"id":"https://openalex.org/C2778136018","wikidata":"https://www.wikidata.org/wiki/Q10350689","display_name":"Predictive power","level":2,"score":0.4327077567577362},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.3986336588859558},{"id":"https://openalex.org/C89227174","wikidata":"https://www.wikidata.org/wiki/Q2388981","display_name":"Electric power system","level":3,"score":0.3723028302192688},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3625197410583496},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.28041622042655945},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11453118920326233},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isgt.2017.8086083","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isgt.2017.8086083","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W102005263","https://openalex.org/W1594031697","https://openalex.org/W1746819321","https://openalex.org/W1912123407","https://openalex.org/W1923610446","https://openalex.org/W1971073840","https://openalex.org/W1973948212","https://openalex.org/W1996681199","https://openalex.org/W2007734911","https://openalex.org/W2033225140","https://openalex.org/W2037369509","https://openalex.org/W2054895285","https://openalex.org/W2056132907","https://openalex.org/W2056636551","https://openalex.org/W2105060474","https://openalex.org/W2106424475","https://openalex.org/W2117450642","https://openalex.org/W2253027201","https://openalex.org/W2289633350","https://openalex.org/W2295053999","https://openalex.org/W2509694038","https://openalex.org/W2557970890","https://openalex.org/W2796901959","https://openalex.org/W2911964244","https://openalex.org/W2963342040","https://openalex.org/W3106429053","https://openalex.org/W4211049957","https://openalex.org/W6604104506","https://openalex.org/W6640114639","https://openalex.org/W6643018227","https://openalex.org/W6697296851"],"related_works":["https://openalex.org/W2028495302","https://openalex.org/W4396872084","https://openalex.org/W4249498729","https://openalex.org/W2002261065","https://openalex.org/W1513656766","https://openalex.org/W1967083444","https://openalex.org/W2160863446","https://openalex.org/W2106866459","https://openalex.org/W2361609491","https://openalex.org/W4239167708"],"abstract_inverted_index":{"In":[0],"this":[1,56],"work":[2],"we":[3,53],"design":[4],"and":[5,39,73],"compare":[6],"different":[7],"supervised":[8],"learning":[9],"algorithms":[10],"to":[11,55,114],"compute":[12],"the":[13,33,68,116],"cost":[14,29,85],"of":[15,27,36,70,75,83,100,104,118],"Alternating":[16],"Current":[17],"Optimal":[18],"Power":[19],"Flow":[20],"(ACOPF).":[21],"The":[22],"motivation":[23],"for":[24,62],"quick":[25],"calculation":[26,82],"OPF":[28,84],"outcomes":[30,66],"stems":[31],"from":[32],"growing":[34],"need":[35,69],"algorithmic-based":[37],"long-term":[38],"medium-term":[40],"planning":[41],"methodologies":[42],"in":[43,47,94],"power":[44],"networks.":[45],"Integrated":[46],"a":[48,60],"multiple":[49],"time-horizon":[50],"coordination":[51],"framework,":[52],"refer":[54],"approximation":[57],"module":[58],"as":[59,110],"proxy":[61],"predicting":[63],"short-term":[64],"decision":[65],"without":[67],"actual":[71],"simulation":[72],"optimization":[74],"them.":[76],"Our":[77],"method":[78],"enables":[79],"fast":[80],"approximate":[81],"with":[86],"less":[87],"than":[88,103],"1%":[89],"error":[90],"on":[91],"average,":[92],"achieved":[93],"run-times":[95],"that":[96],"are":[97,112],"several":[98],"orders":[99],"magnitude":[101],"lower":[102],"exact":[105],"computation.":[106],"Several":[107],"test-cases":[108],"such":[109],"IEEE-RTS96":[111],"used":[113],"demonstrate":[115],"efficiency":[117],"our":[119],"approach.":[120]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":8},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}