{"id":"https://openalex.org/W4389400617","doi":"https://doi.org/10.1109/smartgridcomm57358.2023.10333935","title":"Early Alarm: Robust Event Analysis for Power Systems using 1-D Fully Convolutional Network","display_name":"Early Alarm: Robust Event Analysis for Power Systems using 1-D Fully Convolutional Network","publication_year":2023,"publication_date":"2023-10-31","ids":{"openalex":"https://openalex.org/W4389400617","doi":"https://doi.org/10.1109/smartgridcomm57358.2023.10333935"},"language":"en","primary_location":{"id":"doi:10.1109/smartgridcomm57358.2023.10333935","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/smartgridcomm57358.2023.10333935","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 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":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100324623","display_name":"Chengcheng Li","orcid":"https://orcid.org/0000-0003-3507-8935"},"institutions":[{"id":"https://openalex.org/I75027704","display_name":"University of Tennessee at Knoxville","ror":"https://ror.org/020f3ap87","country_code":"US","type":"education","lineage":["https://openalex.org/I75027704"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Chengcheng Li","raw_affiliation_strings":["University of Tennessee,Department of Electrical Engineering and Computer Science,Knoxville,TN","Department of Electrical Engineering and Computer Science, University of Tennessee, Knoxville, TN"],"affiliations":[{"raw_affiliation_string":"University of Tennessee,Department of Electrical Engineering and Computer Science,Knoxville,TN","institution_ids":["https://openalex.org/I75027704"]},{"raw_affiliation_string":"Department of Electrical Engineering and Computer Science, University of Tennessee, Knoxville, TN","institution_ids":["https://openalex.org/I75027704"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101896142","display_name":"Wei Wang","orcid":"https://orcid.org/0000-0002-1557-5304"},"institutions":[{"id":"https://openalex.org/I75027704","display_name":"University of Tennessee at Knoxville","ror":"https://ror.org/020f3ap87","country_code":"US","type":"education","lineage":["https://openalex.org/I75027704"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Wei Wang","raw_affiliation_strings":["University of Tennessee,Department of Electrical Engineering and Computer Science,Knoxville,TN","Department of Electrical Engineering and Computer Science, University of Tennessee, Knoxville, TN"],"affiliations":[{"raw_affiliation_string":"University of Tennessee,Department of Electrical Engineering and Computer Science,Knoxville,TN","institution_ids":["https://openalex.org/I75027704"]},{"raw_affiliation_string":"Department of Electrical Engineering and Computer Science, University of Tennessee, Knoxville, TN","institution_ids":["https://openalex.org/I75027704"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101896123","display_name":"Zhihao Jiang","orcid":"https://orcid.org/0009-0009-4473-7956"},"institutions":[{"id":"https://openalex.org/I75027704","display_name":"University of Tennessee at Knoxville","ror":"https://ror.org/020f3ap87","country_code":"US","type":"education","lineage":["https://openalex.org/I75027704"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhihao Jiang","raw_affiliation_strings":["University of Tennessee,Department of Electrical Engineering and Computer Science,Knoxville,TN","Department of Electrical Engineering and Computer Science, University of Tennessee, Knoxville, TN"],"affiliations":[{"raw_affiliation_string":"University of Tennessee,Department of Electrical Engineering and Computer Science,Knoxville,TN","institution_ids":["https://openalex.org/I75027704"]},{"raw_affiliation_string":"Department of Electrical Engineering and Computer Science, University of Tennessee, Knoxville, TN","institution_ids":["https://openalex.org/I75027704"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011821362","display_name":"Lin Zhu","orcid":"https://orcid.org/0009-0002-8128-6372"},"institutions":[{"id":"https://openalex.org/I75027704","display_name":"University of Tennessee at Knoxville","ror":"https://ror.org/020f3ap87","country_code":"US","type":"education","lineage":["https://openalex.org/I75027704"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lin Zhu","raw_affiliation_strings":["University of Tennessee,Department of Electrical Engineering and Computer Science,Knoxville,TN","Department of Electrical Engineering and Computer Science, University of Tennessee, Knoxville, TN"],"affiliations":[{"raw_affiliation_string":"University of Tennessee,Department of Electrical Engineering and Computer Science,Knoxville,TN","institution_ids":["https://openalex.org/I75027704"]},{"raw_affiliation_string":"Department of Electrical Engineering and Computer Science, University of Tennessee, Knoxville, TN","institution_ids":["https://openalex.org/I75027704"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101276097","display_name":"Jinyuan Sun","orcid":"https://orcid.org/0000-0002-3674-6846"},"institutions":[{"id":"https://openalex.org/I75027704","display_name":"University of Tennessee at Knoxville","ror":"https://ror.org/020f3ap87","country_code":"US","type":"education","lineage":["https://openalex.org/I75027704"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jinyuan Sun","raw_affiliation_strings":["University of Tennessee,Department of Electrical Engineering and Computer Science,Knoxville,TN","Department of Electrical Engineering and Computer Science, University of Tennessee, Knoxville, TN"],"affiliations":[{"raw_affiliation_string":"University of Tennessee,Department of Electrical Engineering and Computer Science,Knoxville,TN","institution_ids":["https://openalex.org/I75027704"]},{"raw_affiliation_string":"Department of Electrical Engineering and Computer Science, University of Tennessee, Knoxville, TN","institution_ids":["https://openalex.org/I75027704"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101920116","display_name":"Yilu Liu","orcid":"https://orcid.org/0000-0002-6707-9062"},"institutions":[{"id":"https://openalex.org/I75027704","display_name":"University of Tennessee at Knoxville","ror":"https://ror.org/020f3ap87","country_code":"US","type":"education","lineage":["https://openalex.org/I75027704"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yilu Liu","raw_affiliation_strings":["University of Tennessee,Department of Electrical Engineering and Computer Science,Knoxville,TN","Department of Electrical Engineering and Computer Science, University of Tennessee, Knoxville, TN"],"affiliations":[{"raw_affiliation_string":"University of Tennessee,Department of Electrical Engineering and Computer Science,Knoxville,TN","institution_ids":["https://openalex.org/I75027704"]},{"raw_affiliation_string":"Department of Electrical Engineering and Computer Science, University of Tennessee, Knoxville, TN","institution_ids":["https://openalex.org/I75027704"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5072730926","display_name":"Hairong Qi","orcid":"https://orcid.org/0000-0002-2693-5520"},"institutions":[{"id":"https://openalex.org/I75027704","display_name":"University of Tennessee at Knoxville","ror":"https://ror.org/020f3ap87","country_code":"US","type":"education","lineage":["https://openalex.org/I75027704"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hairong Qi","raw_affiliation_strings":["University of Tennessee,Department of Electrical Engineering and Computer Science,Knoxville,TN","Department of Electrical Engineering and Computer Science, University of Tennessee, Knoxville, TN"],"affiliations":[{"raw_affiliation_string":"University of Tennessee,Department of Electrical Engineering and Computer Science,Knoxville,TN","institution_ids":["https://openalex.org/I75027704"]},{"raw_affiliation_string":"Department of Electrical Engineering and Computer Science, University of Tennessee, Knoxville, TN","institution_ids":["https://openalex.org/I75027704"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5100324623"],"corresponding_institution_ids":["https://openalex.org/I75027704"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.16335743,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9988999962806702,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9988999962806702,"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":0.9973000288009644,"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/T11052","display_name":"Energy Load and Power Forecasting","score":0.9879000186920166,"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/robustness","display_name":"Robustness (evolution)","score":0.8312982320785522},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8018465638160706},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.6181969046592712},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.6034706830978394},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5519798994064331},{"id":"https://openalex.org/keywords/alarm","display_name":"ALARM","score":0.5025920867919922},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4713318347930908},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.43606898188591003},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.41997015476226807},{"id":"https://openalex.org/keywords/false-alarm","display_name":"False alarm","score":0.4172722101211548},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.37129247188568115},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3084735870361328},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.0928453803062439}],"concepts":[{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.8312982320785522},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8018465638160706},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.6181969046592712},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.6034706830978394},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5519798994064331},{"id":"https://openalex.org/C2779119184","wikidata":"https://www.wikidata.org/wiki/Q294350","display_name":"ALARM","level":2,"score":0.5025920867919922},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4713318347930908},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.43606898188591003},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.41997015476226807},{"id":"https://openalex.org/C2776836416","wikidata":"https://www.wikidata.org/wiki/Q1364844","display_name":"False alarm","level":2,"score":0.4172722101211548},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.37129247188568115},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3084735870361328},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0928453803062439},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","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/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","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/smartgridcomm57358.2023.10333935","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/smartgridcomm57358.2023.10333935","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.5799999833106995}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W1655664455","https://openalex.org/W1677182931","https://openalex.org/W1686810756","https://openalex.org/W1901129140","https://openalex.org/W1903029394","https://openalex.org/W1964919307","https://openalex.org/W1985774233","https://openalex.org/W2041421635","https://openalex.org/W2060164433","https://openalex.org/W2062796053","https://openalex.org/W2064502128","https://openalex.org/W2076456422","https://openalex.org/W2104500228","https://openalex.org/W2107912313","https://openalex.org/W2110680246","https://openalex.org/W2146496044","https://openalex.org/W2155599966","https://openalex.org/W2172051668","https://openalex.org/W2272600465","https://openalex.org/W2491957880","https://openalex.org/W2581491656","https://openalex.org/W2618530766","https://openalex.org/W2727282110","https://openalex.org/W2769392971","https://openalex.org/W2811430534","https://openalex.org/W2897570406","https://openalex.org/W2919115771","https://openalex.org/W2964255836","https://openalex.org/W2973479812","https://openalex.org/W2981497997","https://openalex.org/W3004664793","https://openalex.org/W3181161645","https://openalex.org/W4205704375","https://openalex.org/W4213391220","https://openalex.org/W4312474255","https://openalex.org/W6637373629","https://openalex.org/W6755660568"],"related_works":["https://openalex.org/W1584123598","https://openalex.org/W2731305060","https://openalex.org/W2372003537","https://openalex.org/W2732807254","https://openalex.org/W2587670262","https://openalex.org/W3091941553","https://openalex.org/W3037375888","https://openalex.org/W2366730739","https://openalex.org/W4378419970","https://openalex.org/W4379535633"],"abstract_inverted_index":{"This":[0],"work":[1],"presents":[2],"a":[3,29,47],"novel":[4],"deep":[5],"learning":[6],"model":[7,36,84,114],"for":[8,88,144],"early,":[9],"accurate,":[10],"and":[11,15,55,70,104,162,169],"robust":[12,126],"detection,":[13],"recognition,":[14,139],"temporal":[16,59],"localization":[17],"of":[18,41,74,101,130],"multi-type":[19],"events":[20],"in":[21,61,136,141],"large-scale":[22],"power":[23,48,145],"systems.":[24],"The":[25],"proposed":[26,83,154],"method":[27,155],"develops":[28],"unified":[30],"1-D":[31],"fully":[32],"convolutional":[33],"network":[34],"(FCN)":[35],"that":[37,122,152],"takes":[38],"time":[39,63],"series":[40,64],"raw":[42],"frequency":[43],"signals":[44,100],"measured":[45],"from":[46],"system":[49,146,170],"as":[50],"input,":[51],"extracts":[52],"distinguishing":[53],"features,":[54],"predicts":[56],"at":[57],"every":[58],"point":[60],"the":[62,72,75,82,86,107,113,153,160],"if":[65],"an":[66,131],"event":[67,76,108,132],"is":[68,115,124,134],"happening":[69],"what":[71],"type":[73],"is.":[77],"Compared":[78],"to":[79,127,159,167],"existing":[80],"methods,":[81],"eliminates":[85],"necessity":[87],"hand-crafted":[89],"feature":[90],"extraction":[91],"or":[92],"complicated":[93],"data":[94],"pre-processing,":[95],"can":[96],"flexibly":[97],"handle":[98],"input":[99],"arbitrary":[102],"length,":[103],"precisely":[105],"infer":[106],"occurrence":[109],"time.":[110],"Most":[111],"importantly,":[112],"intentionally":[116],"trained":[117],"with":[118],"incomplete":[119],"patterns,":[120],"such":[121],"it":[123],"more":[125],"partial":[128],"features":[129],"which":[133],"common":[135],"real-world":[137],"online":[138],"resulting":[140],"early":[142],"alarm":[143],"failures.":[147],"Extensive":[148],"experimental":[149],"results":[150],"demonstrate":[151],"achieves":[156],"superior":[157],"performance":[158],"state-of-the-art,":[161],"also":[163],"shows":[164],"strong":[165],"robustness":[166],"noise":[168],"oscillations.":[171]},"counts_by_year":[],"updated_date":"2025-12-25T23:11:45.687758","created_date":"2025-10-10T00:00:00"}