{"id":"https://openalex.org/W4382710036","doi":"https://doi.org/10.1109/access.2023.3249666","title":"Real-Time Power System Event Detection: A Novel Instance Selection Approach","display_name":"Real-Time Power System Event Detection: A Novel Instance Selection Approach","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4382710036","doi":"https://doi.org/10.1109/access.2023.3249666"},"language":"en","primary_location":{"id":"doi:10.1109/access.2023.3249666","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3249666","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/10005208/10054027.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/10005208/10054027.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5030736328","display_name":"Gabriel Intriago","orcid":"https://orcid.org/0000-0002-0018-2970"},"institutions":[{"id":"https://openalex.org/I185103710","display_name":"University of California, Santa Cruz","ror":"https://ror.org/03s65by71","country_code":"US","type":"education","lineage":["https://openalex.org/I185103710"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Gabriel Intriago","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of California at Santa Cruz, Santa Cruz, CA, USA"],"raw_orcid":"https://orcid.org/0000-0002-0018-2970","affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of California at Santa Cruz, Santa Cruz, CA, USA","institution_ids":["https://openalex.org/I185103710"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100433414","display_name":"Yu Zhang","orcid":"https://orcid.org/0000-0001-7889-2676"},"institutions":[{"id":"https://openalex.org/I185103710","display_name":"University of California, Santa Cruz","ror":"https://ror.org/03s65by71","country_code":"US","type":"education","lineage":["https://openalex.org/I185103710"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yu Zhang","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of California at Santa Cruz, Santa Cruz, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of California at Santa Cruz, Santa Cruz, CA, USA","institution_ids":["https://openalex.org/I185103710"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5030736328"],"corresponding_institution_ids":["https://openalex.org/I185103710"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.8354,"has_fulltext":true,"cited_by_count":5,"citation_normalized_percentile":{"value":0.78034263,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"11","issue":null,"first_page":"46765","last_page":"46781"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12761","display_name":"Data Stream Mining Techniques","score":0.9995999932289124,"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"}},"topics":[{"id":"https://openalex.org/T12761","display_name":"Data Stream Mining Techniques","score":0.9995999932289124,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9973000288009644,"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9958999752998352,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7213375568389893},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.6038232445716858},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.5350469350814819},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.4869621694087982},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.43121808767318726},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.32555723190307617},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.26543229818344116}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7213375568389893},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.6038232445716858},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.5350469350814819},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.4869621694087982},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.43121808767318726},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.32555723190307617},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.26543229818344116},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2023.3249666","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3249666","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/10005208/10054027.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:fdbbef2a8f034a7498b071576cc0b544","is_oa":true,"landing_page_url":"https://doaj.org/article/fdbbef2a8f034a7498b071576cc0b544","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 11, Pp 46765-46781 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2023.3249666","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3249666","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/10005208/10054027.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","score":0.6499999761581421,"id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320308590","display_name":"University of California","ror":"https://ror.org/00pjdza24"},{"id":"https://openalex.org/F4320310688","display_name":"Center for Information Technology Research in the Interest of Society","ror":"https://ror.org/00zv0wd17"},{"id":"https://openalex.org/F4320315033","display_name":"Banatao Institute","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4382710036.pdf","grobid_xml":"https://content.openalex.org/works/W4382710036.grobid-xml"},"referenced_works_count":45,"referenced_works":["https://openalex.org/W1525647652","https://openalex.org/W1585854823","https://openalex.org/W1977555035","https://openalex.org/W1991510770","https://openalex.org/W1997081029","https://openalex.org/W2011284636","https://openalex.org/W2068714596","https://openalex.org/W2073256825","https://openalex.org/W2099419573","https://openalex.org/W2102387656","https://openalex.org/W2122351531","https://openalex.org/W2134385409","https://openalex.org/W2143842190","https://openalex.org/W2143991132","https://openalex.org/W2144729186","https://openalex.org/W2294237326","https://openalex.org/W2361024996","https://openalex.org/W2542262632","https://openalex.org/W2552153858","https://openalex.org/W2566852680","https://openalex.org/W2570832985","https://openalex.org/W2798412130","https://openalex.org/W2919785014","https://openalex.org/W2969980263","https://openalex.org/W2997967197","https://openalex.org/W3003137894","https://openalex.org/W3008824955","https://openalex.org/W3048721464","https://openalex.org/W3049666257","https://openalex.org/W3055578719","https://openalex.org/W3093981769","https://openalex.org/W3111828510","https://openalex.org/W3134709860","https://openalex.org/W3146736723","https://openalex.org/W3194743994","https://openalex.org/W3212371153","https://openalex.org/W3215906478","https://openalex.org/W4205103003","https://openalex.org/W4210537075","https://openalex.org/W4226250051","https://openalex.org/W4285109089","https://openalex.org/W4285278771","https://openalex.org/W4307466281","https://openalex.org/W6681814599","https://openalex.org/W6787556164"],"related_works":["https://openalex.org/W4205762803","https://openalex.org/W2535856026","https://openalex.org/W2265065644","https://openalex.org/W2134699697","https://openalex.org/W3017188156","https://openalex.org/W2322875716","https://openalex.org/W2383516975","https://openalex.org/W2374878784","https://openalex.org/W2147679489","https://openalex.org/W2371642785"],"abstract_inverted_index":{"This":[0],"study":[1],"presents":[2],"a":[3,128,190,194],"novel":[4,129],"adaptation":[5],"of":[6,34,118,146,178,205],"the":[7,31,69,92,113,147,155,166,176,179,187,197,202,206],"Hoeffding":[8],"Adaptive":[9],"Tree":[10],"(HAT)":[11],"classifier":[12,122,156,188],"with":[13,133,171],"an":[14],"instance":[15,130],"selection":[16,131],"algorithm":[17,132,148],"that":[18],"detects":[19],"and":[20,23,42,54,77,86,91,109,115,143,161,211],"identifies":[21],"cyber":[22,108],"non-cyber":[24,110],"contingencies":[25,111],"in":[26],"real":[27],"time":[28],"to":[29,49,67,99,137],"enhance":[30],"situational":[32],"awareness":[33],"cyber-physical":[35],"power":[36],"systems":[37,45,57],"(CPPS).":[38],"Wide-area":[39],"monitoring,":[40],"protection,":[41],"control":[43],"(WAMPAC)":[44],"allow":[46],"system":[47],"operators":[48],"operate":[50],"CPPS":[51,70],"more":[52],"efficiently":[53],"reliably.":[55],"WAMPAC":[56,89],"use":[58],"intelligent":[59],"devices":[60,74,90],"such":[61,73],"as":[62],"phasor":[63],"measurement":[64],"units":[65],"(PMUs)":[66],"monitor":[68],"state.":[71],"However,":[72],"produce":[75],"continuous":[76],"unbounded":[78],"data":[79,84,139,163],"streams,":[80],"posing":[81],"challenges":[82],"for":[83],"handling":[85],"storage.":[87],"Moreover,":[88,186],"communication":[93],"links":[94],"connecting":[95],"them":[96],"are":[97,214],"vulnerable":[98],"cybersecurity":[100],"risks.":[101],"In":[102],"this":[103],"study,":[104],"we":[105],"consider":[106],"several":[107],"affecting":[112],"physics":[114],"monitoring":[116],"infrastructure":[117],"CPPS.":[119],"Our":[120],"proposed":[121,180,207],"distinguishes":[123],"disturbances":[124],"from":[125,165],"cyberattacks":[126],"using":[127,193],"three":[134],"algorithmic":[135],"stages":[136],"ease":[138],"management.":[140],"A":[141],"cost":[142],"complexity":[144],"analysis":[145],"is":[149,209],"discussed.":[150,215],"With":[151],"reduced":[152],"computational":[153],"effort,":[154],"can":[157],"handle":[158],"high-velocity,":[159],"high-volume,":[160],"evolving":[162],"streams":[164],"PMUs.":[167],"Six":[168],"case":[169],"studies":[170],"extensive":[172],"simulation":[173],"results":[174],"corroborate":[175],"merits":[177],"classifier,":[181],"which":[182],"outperforms":[183],"state-of-the-art":[184],"classifiers.":[185],"demonstrated":[189],"high":[191],"performance":[192],"dataset":[195],"outside":[196],"contingency":[198],"detection":[199],"domain.":[200],"Finally,":[201],"real-time":[203],"applicability":[204],"methodology":[208],"assessed,":[210],"its":[212],"limitations":[213]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2026-05-14T08:36:36.166977","created_date":"2025-10-10T00:00:00"}