{"id":"https://openalex.org/W3113862362","doi":"https://doi.org/10.1109/smartgridcomm47815.2020.9302947","title":"Online Event Detection in Synchrophasor Data with Graph Signal Processing","display_name":"Online Event Detection in Synchrophasor Data with Graph Signal Processing","publication_year":2020,"publication_date":"2020-11-11","ids":{"openalex":"https://openalex.org/W3113862362","doi":"https://doi.org/10.1109/smartgridcomm47815.2020.9302947","mag":"3113862362"},"language":"en","primary_location":{"id":"doi:10.1109/smartgridcomm47815.2020.9302947","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smartgridcomm47815.2020.9302947","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 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":true,"oa_status":"green","oa_url":"https://www.osti.gov/biblio/1867799","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5026840397","display_name":"Jie Shi","orcid":"https://orcid.org/0000-0002-1760-0462"},"institutions":[{"id":"https://openalex.org/I103635307","display_name":"University of California, Riverside","ror":"https://ror.org/03nawhv43","country_code":"US","type":"education","lineage":["https://openalex.org/I103635307"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Jie Shi","raw_affiliation_strings":["University of California Riverside, Riverside, California"],"affiliations":[{"raw_affiliation_string":"University of California Riverside, Riverside, California","institution_ids":["https://openalex.org/I103635307"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041282364","display_name":"Brandon Foggo","orcid":"https://orcid.org/0000-0002-8547-391X"},"institutions":[{"id":"https://openalex.org/I103635307","display_name":"University of California, Riverside","ror":"https://ror.org/03nawhv43","country_code":"US","type":"education","lineage":["https://openalex.org/I103635307"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Brandon Foggo","raw_affiliation_strings":["University of California Riverside, Riverside, California"],"affiliations":[{"raw_affiliation_string":"University of California Riverside, Riverside, California","institution_ids":["https://openalex.org/I103635307"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080211715","display_name":"Xianghao Kong","orcid":"https://orcid.org/0000-0002-1335-5092"},"institutions":[{"id":"https://openalex.org/I103635307","display_name":"University of California, Riverside","ror":"https://ror.org/03nawhv43","country_code":"US","type":"education","lineage":["https://openalex.org/I103635307"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xianghao Kong","raw_affiliation_strings":["University of California Riverside, Riverside, California"],"affiliations":[{"raw_affiliation_string":"University of California Riverside, Riverside, California","institution_ids":["https://openalex.org/I103635307"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112743826","display_name":"Yuanbin Cheng","orcid":"https://orcid.org/0000-0002-0983-2271"},"institutions":[{"id":"https://openalex.org/I103635307","display_name":"University of California, Riverside","ror":"https://ror.org/03nawhv43","country_code":"US","type":"education","lineage":["https://openalex.org/I103635307"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yuanbin Cheng","raw_affiliation_strings":["University of California Riverside, Riverside, California"],"affiliations":[{"raw_affiliation_string":"University of California Riverside, Riverside, California","institution_ids":["https://openalex.org/I103635307"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029525096","display_name":"Nanpeng Yu","orcid":"https://orcid.org/0000-0001-5086-5465"},"institutions":[{"id":"https://openalex.org/I103635307","display_name":"University of California, Riverside","ror":"https://ror.org/03nawhv43","country_code":"US","type":"education","lineage":["https://openalex.org/I103635307"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nanpeng Yu","raw_affiliation_strings":["University of California Riverside, Riverside, California"],"affiliations":[{"raw_affiliation_string":"University of California Riverside, Riverside, California","institution_ids":["https://openalex.org/I103635307"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5000048734","display_name":"Koji Yamashita","orcid":"https://orcid.org/0000-0002-1892-2455"},"institutions":[{"id":"https://openalex.org/I11957088","display_name":"Michigan Technological University","ror":"https://ror.org/0036rpn28","country_code":"US","type":"education","lineage":["https://openalex.org/I11957088"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Koji Yamashita","raw_affiliation_strings":["Michigan Technological University, Houghton, Michigan"],"affiliations":[{"raw_affiliation_string":"Michigan Technological University, Houghton, Michigan","institution_ids":["https://openalex.org/I11957088"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5026840397"],"corresponding_institution_ids":["https://openalex.org/I103635307"],"apc_list":null,"apc_paid":null,"fwci":2.8798,"has_fulltext":false,"cited_by_count":25,"citation_normalized_percentile":{"value":0.92673533,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9950000047683716,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.9950000047683716,"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/T10305","display_name":"Power System Optimization and Stability","score":0.9923999905586243,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.979200005531311,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7615641355514526},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.6381960511207581},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.6183650493621826},{"id":"https://openalex.org/keywords/adjacency-matrix","display_name":"Adjacency matrix","score":0.5859570503234863},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5451516509056091},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.43888524174690247},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.41755765676498413},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.401703417301178},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3748745322227478},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.32869333028793335},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.32416874170303345},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.24027708172798157}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7615641355514526},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.6381960511207581},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.6183650493621826},{"id":"https://openalex.org/C180356752","wikidata":"https://www.wikidata.org/wiki/Q727035","display_name":"Adjacency matrix","level":3,"score":0.5859570503234863},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5451516509056091},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.43888524174690247},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.41755765676498413},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.401703417301178},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3748745322227478},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.32869333028793335},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.32416874170303345},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.24027708172798157},{"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/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","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":3,"locations":[{"id":"doi:10.1109/smartgridcomm47815.2020.9302947","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smartgridcomm47815.2020.9302947","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm)","raw_type":"proceedings-article"},{"id":"pmh:oai:digitalcommons.mtu.edu:michigantech-p-33857","is_oa":false,"landing_page_url":"https://digitalcommons.mtu.edu/michigantech-p/14555","pdf_url":null,"source":{"id":"https://openalex.org/S4377196391","display_name":"Digital Commons - Michigan Tech (Michigan Technological University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I11957088","host_organization_name":"Michigan Technological University","host_organization_lineage":["https://openalex.org/I11957088"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Michigan Tech Publications, Part 1","raw_type":"text"},{"id":"pmh:oai:osti.gov:1867799","is_oa":true,"landing_page_url":"https://www.osti.gov/biblio/1867799","pdf_url":null,"source":{"id":"https://openalex.org/S4306402487","display_name":"OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I139351228","host_organization_name":"Office of Scientific and Technical Information","host_organization_lineage":["https://openalex.org/I139351228"],"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":null}],"best_oa_location":{"id":"pmh:oai:osti.gov:1867799","is_oa":true,"landing_page_url":"https://www.osti.gov/biblio/1867799","pdf_url":null,"source":{"id":"https://openalex.org/S4306402487","display_name":"OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I139351228","host_organization_name":"Office of Scientific and Technical Information","host_organization_lineage":["https://openalex.org/I139351228"],"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":null},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1990488619","https://openalex.org/W1991252559","https://openalex.org/W1996031195","https://openalex.org/W2001150980","https://openalex.org/W2003000445","https://openalex.org/W2027069555","https://openalex.org/W2029725686","https://openalex.org/W2168175751","https://openalex.org/W2185199324","https://openalex.org/W2524447200","https://openalex.org/W2737728381","https://openalex.org/W2806470553","https://openalex.org/W2810733433","https://openalex.org/W2963029069","https://openalex.org/W2981170422","https://openalex.org/W2988997628","https://openalex.org/W3004164154","https://openalex.org/W3133793101","https://openalex.org/W4232384519","https://openalex.org/W4288023793","https://openalex.org/W6769092883","https://openalex.org/W6770170299"],"related_works":["https://openalex.org/W2389214306","https://openalex.org/W2965083567","https://openalex.org/W4235240664","https://openalex.org/W1838576100","https://openalex.org/W2757182831","https://openalex.org/W2095886385","https://openalex.org/W2089704382","https://openalex.org/W1983399550","https://openalex.org/W97075385","https://openalex.org/W2357523926"],"abstract_inverted_index":{"Online":[0],"detection":[1,22,104,118],"of":[2,12,48,100],"anomalies":[3],"is":[4],"crucial":[5],"to":[6,33,60,76,107],"enhancing":[7],"the":[8,45,49,96,108,111],"reliability":[9],"and":[10,43,63,82,98],"resiliency":[11],"power":[13],"systems.":[14],"We":[15],"propose":[16],"a":[17,57,73,78],"novel":[18],"data-driven":[19],"online":[20],"event":[21,103],"algorithm":[23,39],"with":[24,90],"synchrophasor":[25,93],"data":[26,94],"using":[27],"graph":[28,83],"signal":[29],"processing.":[30],"In":[31],"addition":[32],"being":[34],"extremely":[35],"scalable,":[36],"our":[37,101],"proposed":[38,102,112],"can":[40],"accurately":[41],"capture":[42],"leverage":[44],"spatio-temporal":[46],"correlations":[47,65],"streaming":[50],"PMU":[51],"data.":[52],"This":[53],"paper":[54],"also":[55,121],"develops":[56],"general":[58],"technique":[59],"decouple":[61],"spatial":[62],"temporal":[64],"in":[66],"multiple":[67],"time":[68],"series.":[69],"Finally,":[70],"we":[71],"develop":[72],"unique":[74],"framework":[75],"construct":[77],"weighted":[79],"adjacency":[80],"matrix":[81],"Laplacian":[84],"for":[85],"product":[86],"graph.":[87],"Case":[88],"studies":[89],"real-world,":[91],"large-scale":[92],"demonstrate":[95],"scalability":[97],"accuracy":[99,119],"algorithm.":[105],"Compared":[106],"state-of-the-art":[109],"benchmark,":[110],"method":[113],"not":[114],"only":[115],"achieves":[116],"higher":[117,123],"but":[120],"yields":[122],"computational":[124],"efficiency.":[125]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":8},{"year":2021,"cited_by_count":9},{"year":2020,"cited_by_count":1}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}