{"id":"https://openalex.org/W4408281284","doi":"https://doi.org/10.1109/iecon55916.2024.10905542","title":"Real-Time Machine Learning for Power Grid SCADA Alarm Event Detection Decision Support","display_name":"Real-Time Machine Learning for Power Grid SCADA Alarm Event Detection Decision Support","publication_year":2024,"publication_date":"2024-11-03","ids":{"openalex":"https://openalex.org/W4408281284","doi":"https://doi.org/10.1109/iecon55916.2024.10905542"},"language":"en","primary_location":{"id":"doi:10.1109/iecon55916.2024.10905542","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iecon55916.2024.10905542","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IECON 2024 - 50th Annual Conference of the IEEE Industrial Electronics Society","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/A5100322161","display_name":"Chen Liu","orcid":"https://orcid.org/0000-0002-4368-5295"},"institutions":[{"id":"https://openalex.org/I82951845","display_name":"RMIT University","ror":"https://ror.org/04ttjf776","country_code":"AU","type":"education","lineage":["https://openalex.org/I82951845"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Chen Liu","raw_affiliation_strings":["RMIT University,School of Engineering,Australia"],"affiliations":[{"raw_affiliation_string":"RMIT University,School of Engineering,Australia","institution_ids":["https://openalex.org/I82951845"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053745441","display_name":"Geordie Dalzell","orcid":null},"institutions":[{"id":"https://openalex.org/I82951845","display_name":"RMIT University","ror":"https://ror.org/04ttjf776","country_code":"AU","type":"education","lineage":["https://openalex.org/I82951845"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Geordie Dalzell","raw_affiliation_strings":["RMIT University,School of Engineering,Australia"],"affiliations":[{"raw_affiliation_string":"RMIT University,School of Engineering,Australia","institution_ids":["https://openalex.org/I82951845"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5116570036","display_name":"Elena Kranz","orcid":null},"institutions":[{"id":"https://openalex.org/I4577782","display_name":"Technische Universit\u00e4t Berlin","ror":"https://ror.org/03v4gjf40","country_code":"DE","type":"education","lineage":["https://openalex.org/I4577782"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Elena Kranz","raw_affiliation_strings":["Technical University of Berlin,Germany"],"affiliations":[{"raw_affiliation_string":"Technical University of Berlin,Germany","institution_ids":["https://openalex.org/I4577782"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070195520","display_name":"Xinghuo Yu","orcid":"https://orcid.org/0000-0001-8093-9787"},"institutions":[{"id":"https://openalex.org/I82951845","display_name":"RMIT University","ror":"https://ror.org/04ttjf776","country_code":"AU","type":"education","lineage":["https://openalex.org/I82951845"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Xinghuo Yu","raw_affiliation_strings":["RMIT University,School of Engineering,Australia"],"affiliations":[{"raw_affiliation_string":"RMIT University,School of Engineering,Australia","institution_ids":["https://openalex.org/I82951845"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015105378","display_name":"Adrian Kelly","orcid":"https://orcid.org/0000-0001-6983-9283"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Adrian Kelly","raw_affiliation_strings":["Electric Power Research Institute (EPRI),Ireland"],"affiliations":[{"raw_affiliation_string":"Electric Power Research Institute (EPRI),Ireland","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5019198548","display_name":"Mahathir Almashor","orcid":"https://orcid.org/0000-0002-3846-6282"},"institutions":[{"id":"https://openalex.org/I1292875679","display_name":"Commonwealth Scientific and Industrial Research Organisation","ror":"https://ror.org/03qn8fb07","country_code":"AU","type":"funder","lineage":["https://openalex.org/I1292875679","https://openalex.org/I2801453606","https://openalex.org/I4387156119"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Mahathir Almashor","raw_affiliation_strings":["Commonwealth Scientific and Industrial Research Organisation (CSIRO),Australia"],"affiliations":[{"raw_affiliation_string":"Commonwealth Scientific and Industrial Research Organisation (CSIRO),Australia","institution_ids":["https://openalex.org/I1292875679"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5100322161"],"corresponding_institution_ids":["https://openalex.org/I82951845"],"apc_list":null,"apc_paid":null,"fwci":0.2307,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.57932523,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12451","display_name":"Smart Grid and Power Systems","score":0.9578999876976013,"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/T12451","display_name":"Smart Grid and Power Systems","score":0.9578999876976013,"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/T13734","display_name":"Advanced Computational Techniques and Applications","score":0.9542999863624573,"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":0.9358000159263611,"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/scada","display_name":"SCADA","score":0.8429253101348877},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7480186223983765},{"id":"https://openalex.org/keywords/alarm","display_name":"ALARM","score":0.7332088351249695},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.6906880736351013},{"id":"https://openalex.org/keywords/power-grid","display_name":"Power grid","score":0.5972186326980591},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.5154834389686584},{"id":"https://openalex.org/keywords/decision-support-system","display_name":"Decision support system","score":0.45573127269744873},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.43262067437171936},{"id":"https://openalex.org/keywords/grid","display_name":"Grid","score":0.43218767642974854},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.38081222772598267},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.33981820940971375},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1391412913799286},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.07496917247772217}],"concepts":[{"id":"https://openalex.org/C113863187","wikidata":"https://www.wikidata.org/wiki/Q17498","display_name":"SCADA","level":2,"score":0.8429253101348877},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7480186223983765},{"id":"https://openalex.org/C2779119184","wikidata":"https://www.wikidata.org/wiki/Q294350","display_name":"ALARM","level":2,"score":0.7332088351249695},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.6906880736351013},{"id":"https://openalex.org/C2983254600","wikidata":"https://www.wikidata.org/wiki/Q1096907","display_name":"Power grid","level":3,"score":0.5972186326980591},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.5154834389686584},{"id":"https://openalex.org/C107327155","wikidata":"https://www.wikidata.org/wiki/Q330268","display_name":"Decision support system","level":2,"score":0.45573127269744873},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.43262067437171936},{"id":"https://openalex.org/C187691185","wikidata":"https://www.wikidata.org/wiki/Q2020720","display_name":"Grid","level":2,"score":0.43218767642974854},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38081222772598267},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.33981820940971375},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1391412913799286},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.07496917247772217},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"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/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iecon55916.2024.10905542","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iecon55916.2024.10905542","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IECON 2024 - 50th Annual Conference of the IEEE Industrial Electronics Society","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":23,"referenced_works":["https://openalex.org/W2011815660","https://openalex.org/W2038651258","https://openalex.org/W2061739895","https://openalex.org/W2072598213","https://openalex.org/W2113651538","https://openalex.org/W2116785116","https://openalex.org/W2127918528","https://openalex.org/W2134330995","https://openalex.org/W2136722496","https://openalex.org/W2161912673","https://openalex.org/W2166430547","https://openalex.org/W2169701294","https://openalex.org/W2171791323","https://openalex.org/W2328630450","https://openalex.org/W2345888804","https://openalex.org/W2962905293","https://openalex.org/W2981155545","https://openalex.org/W3009817668","https://openalex.org/W3014444579","https://openalex.org/W3019563556","https://openalex.org/W3108249619","https://openalex.org/W6631190155","https://openalex.org/W6681435938"],"related_works":["https://openalex.org/W2615977515","https://openalex.org/W2115760278","https://openalex.org/W2146396794","https://openalex.org/W2807864071","https://openalex.org/W2809162650","https://openalex.org/W2388279172","https://openalex.org/W2617238897","https://openalex.org/W4386714408","https://openalex.org/W3164929525","https://openalex.org/W2369982431"],"abstract_inverted_index":{"The":[0,83,98,160],"operation":[1],"of":[2,38,49,72,119,163,180],"power":[3,42,95,139,190],"grids":[4],"is":[5,10,52,77,86,131],"increasingly":[6],"complex":[7],"and":[8,36,88,127,144,156,188],"there":[9],"a":[11,53,93,135,172],"growing":[12],"need":[13],"for":[14,112,138],"data-driven":[15],"fault":[16],"diagnosis":[17],"in":[18,41,176],"smart":[19],"grid":[20,43,96,140,191],"dispatching.":[21],"This":[22],"study":[23],"presents":[24],"an":[25,67],"innovative":[26],"real-time":[27,113],"machine":[28,165],"learning":[29,166],"framework":[30,51,85,103,167],"that":[31,101],"significantly":[32],"enhances":[33],"the":[34,47,70,102,109,123,177],"detection":[35],"management":[37],"alarm":[39,64,75,114,120,124],"events":[40,76],"SCADA":[44,169],"systems.":[45],"At":[46],"heart":[48],"this":[50,164],"novel":[54],"deep":[55],"neural":[56],"network":[57],"(DNN)":[58],"architecture":[59],"designed":[60],"to":[61,133,184],"efficiently":[62],"identify":[63],"events.":[65],"Additionally,":[66],"algorithm":[68,130],"prioritizing":[69],"identification":[71],"historically":[73],"relevant":[74],"developed,":[78],"providing":[79,150],"robust":[80],"decision":[81,128],"support.":[82],"proposed":[84],"constructed":[87],"underwent":[89],"thorough":[90],"testing":[91],"with":[92],"comprehensive":[94],"dataset.":[97],"results":[99],"demonstrate":[100],"not":[104],"only":[105],"meets":[106],"but":[107],"exceeds":[108],"operational":[110],"demands":[111],"detection,":[115],"particularly":[116],"during":[117],"periods":[118],"floodpeak.":[121],"Moreover,":[122],"event":[125],"searching":[126],"support":[129],"proven":[132],"be":[134],"critical":[136],"tool":[137],"control":[141],"room":[142],"experts":[143],"operators,":[145],"facilitating":[146],"rapid":[147],"decision-making":[148],"by":[149],"actionable":[151],"insights":[152],"based":[153],"on":[154],"historical":[155],"current":[157],"data":[158],"analysis.":[159],"successful":[161],"integration":[162],"into":[168],"systems":[170],"marks":[171],"significant":[173],"step":[174],"forward":[175],"technological":[178],"evolution":[179],"energy":[181],"systems,":[182],"leading":[183],"smarter,":[185],"more":[186],"efficient,":[187],"reliable":[189],"management.":[192]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-12-28T23:10:05.387466","created_date":"2025-10-10T00:00:00"}