{"id":"https://openalex.org/W2789615931","doi":"https://doi.org/10.1109/globalsip.2017.8309127","title":"Blind estimation of states and topology (BEST) in power systems","display_name":"Blind estimation of states and topology (BEST) in power systems","publication_year":2017,"publication_date":"2017-11-01","ids":{"openalex":"https://openalex.org/W2789615931","doi":"https://doi.org/10.1109/globalsip.2017.8309127","mag":"2789615931"},"language":"en","primary_location":{"id":"doi:10.1109/globalsip.2017.8309127","is_oa":false,"landing_page_url":"https://doi.org/10.1109/globalsip.2017.8309127","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE Global Conference on Signal and Information Processing (GlobalSIP)","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/A5057181918","display_name":"Idan Gera","orcid":null},"institutions":[{"id":"https://openalex.org/I124227911","display_name":"Ben-Gurion University of the Negev","ror":"https://ror.org/05tkyf982","country_code":"IL","type":"education","lineage":["https://openalex.org/I124227911"]}],"countries":["IL"],"is_corresponding":true,"raw_author_name":"Idan Gera","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Ben-Gurion University of the Negev, Beer-Sheva, Israel"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Ben-Gurion University of the Negev, Beer-Sheva, Israel","institution_ids":["https://openalex.org/I124227911"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009187800","display_name":"Yair Yakoby","orcid":"https://orcid.org/0000-0003-1811-0788"},"institutions":[{"id":"https://openalex.org/I124227911","display_name":"Ben-Gurion University of the Negev","ror":"https://ror.org/05tkyf982","country_code":"IL","type":"education","lineage":["https://openalex.org/I124227911"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Yair Yakoby","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Ben-Gurion University of the Negev, Beer-Sheva, Israel"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Ben-Gurion University of the Negev, Beer-Sheva, Israel","institution_ids":["https://openalex.org/I124227911"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5061404840","display_name":"Tirza Routtenberg","orcid":"https://orcid.org/0000-0002-7238-7764"},"institutions":[{"id":"https://openalex.org/I124227911","display_name":"Ben-Gurion University of the Negev","ror":"https://ror.org/05tkyf982","country_code":"IL","type":"education","lineage":["https://openalex.org/I124227911"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Tirza Routtenberg","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Ben-Gurion University of the Negev, Beer-Sheva, Israel"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Ben-Gurion University of the Negev, Beer-Sheva, Israel","institution_ids":["https://openalex.org/I124227911"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5057181918"],"corresponding_institution_ids":["https://openalex.org/I124227911"],"apc_list":null,"apc_paid":null,"fwci":1.4794,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.84433865,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"1","issue":null,"first_page":"1080","last_page":"1084"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12611","display_name":"Neural Networks and Reservoir Computing","score":0.98580002784729,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11233","display_name":"Advanced Adaptive Filtering Techniques","score":0.9778000116348267,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/topology","display_name":"Topology (electrical circuits)","score":0.6421403884887695},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.6009421348571777},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.5810451507568359},{"id":"https://openalex.org/keywords/blind-signal-separation","display_name":"Blind signal separation","score":0.5463016033172607},{"id":"https://openalex.org/keywords/laplacian-matrix","display_name":"Laplacian matrix","score":0.4813297688961029},{"id":"https://openalex.org/keywords/admittance-parameters","display_name":"Admittance parameters","score":0.462363064289093},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4455118775367737},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.42043250799179077},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.4062381982803345},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3898552358150482},{"id":"https://openalex.org/keywords/laplace-operator","display_name":"Laplace operator","score":0.3241637349128723},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.131434828042984},{"id":"https://openalex.org/keywords/voltage","display_name":"Voltage","score":0.11797106266021729},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.09503787755966187},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09437689185142517},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.0718039870262146}],"concepts":[{"id":"https://openalex.org/C184720557","wikidata":"https://www.wikidata.org/wiki/Q7825049","display_name":"Topology (electrical circuits)","level":2,"score":0.6421403884887695},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.6009421348571777},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.5810451507568359},{"id":"https://openalex.org/C120317606","wikidata":"https://www.wikidata.org/wiki/Q17105967","display_name":"Blind signal separation","level":3,"score":0.5463016033172607},{"id":"https://openalex.org/C115178988","wikidata":"https://www.wikidata.org/wiki/Q772067","display_name":"Laplacian matrix","level":3,"score":0.4813297688961029},{"id":"https://openalex.org/C133833761","wikidata":"https://www.wikidata.org/wiki/Q16001847","display_name":"Admittance parameters","level":3,"score":0.462363064289093},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4455118775367737},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.42043250799179077},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4062381982803345},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3898552358150482},{"id":"https://openalex.org/C165700671","wikidata":"https://www.wikidata.org/wiki/Q203484","display_name":"Laplace operator","level":2,"score":0.3241637349128723},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.131434828042984},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.11797106266021729},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.09503787755966187},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09437689185142517},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0718039870262146},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/globalsip.2017.8309127","is_oa":false,"landing_page_url":"https://doi.org/10.1109/globalsip.2017.8309127","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE Global Conference on Signal and Information Processing (GlobalSIP)","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":35,"referenced_works":["https://openalex.org/W250076511","https://openalex.org/W1499925099","https://openalex.org/W1535327586","https://openalex.org/W1598852905","https://openalex.org/W1875112053","https://openalex.org/W1965392255","https://openalex.org/W1971769095","https://openalex.org/W1991631960","https://openalex.org/W1999661423","https://openalex.org/W2027115776","https://openalex.org/W2042663762","https://openalex.org/W2064690267","https://openalex.org/W2067417819","https://openalex.org/W2068108489","https://openalex.org/W2080100918","https://openalex.org/W2099741732","https://openalex.org/W2100445566","https://openalex.org/W2104857282","https://openalex.org/W2110476671","https://openalex.org/W2119647652","https://openalex.org/W2123497061","https://openalex.org/W2123649031","https://openalex.org/W2133069066","https://openalex.org/W2152728520","https://openalex.org/W2171042465","https://openalex.org/W2466582317","https://openalex.org/W2541620444","https://openalex.org/W2562587073","https://openalex.org/W2626987805","https://openalex.org/W2963679871","https://openalex.org/W3007334791","https://openalex.org/W3102321944","https://openalex.org/W4238452917","https://openalex.org/W6685211682","https://openalex.org/W6739508892"],"related_works":["https://openalex.org/W2570009360","https://openalex.org/W3004345458","https://openalex.org/W2883186538","https://openalex.org/W2051180862","https://openalex.org/W1976439244","https://openalex.org/W2402951419","https://openalex.org/W2896947499","https://openalex.org/W2362501828","https://openalex.org/W4223455993","https://openalex.org/W2113991431"],"abstract_inverted_index":{"In":[0,123],"this":[1,37,70],"paper,":[2],"we":[3],"consider":[4],"the":[5,18,42,49,80,85,88,113,119,128,135,149,166,173],"problem":[6,38],"of":[7,21,63,87,134,148,162],"state":[8,175],"estimation":[9],"and":[10,29,65,84,138,164,170],"topology":[11,136],"identification":[12],"in":[13],"power":[14,23],"systems.":[15],"We":[16,34,57],"assume":[17],"DC":[19],"model":[20],"real":[22],"measurements":[24],"with":[25,158,172],"unknown":[26,31],"voltage":[27],"phases":[28],"an":[30,109,159],"admittance":[32],"matrix.":[33,56,91],"show":[35],"that":[36,111],"is":[39,52,76,99,152],"equivalent":[40],"to":[41,125,142],"blind":[43],"source":[44],"separation":[45],"(BSS)":[46],"problem,":[47],"where":[48],"mixing":[50],"matrix":[51,121,137,143],"a":[53,155],"weighted":[54],"Laplacian":[55,90,96,120],"propose":[58],"two":[59],"new":[60],"Blind":[61],"Estimation":[62],"States":[64],"Topology":[66],"(BEST)":[67],"methods":[68,130,151],"for":[69,154,165],"problem.":[71],"The":[72,92,146],"first":[73],"method,":[74,94,106],"Cov-BEST,":[75],"based":[77],"on":[78],"utilizing":[79,118],"states'":[81],"second-order":[82],"statistics":[83],"positive-definiteness":[86],"reduced":[89],"second":[93],"Generalized":[95],"Separation":[97],"(GLS)-BEST,":[98],"obtained":[100],"by":[101,108,117],"applying":[102],"any":[103],"general":[104,156],"BSS":[105,115],"followed":[107],"approach":[110],"resolves":[112],"inherent":[114],"ambiguities":[116],"properties.":[122],"contrast":[124],"existing":[126],"methods,":[127],"proposed":[129,150],"achieve":[131],"full":[132],"recovery":[133],"are":[139],"not":[140],"limited":[141],"eigenvectors":[144],"estimation.":[145],"performance":[147],"evaluated":[153],"network":[157],"arbitrary":[160],"number":[161],"buses":[163],"IEEE-14":[167],"bus":[168],"system,":[169],"compared":[171],"oracle":[174],"estimator.":[176]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}