{"id":"https://openalex.org/W4387247261","doi":"https://doi.org/10.1145/3616131.3616138","title":"Anomaly Detection Using LSTM-Autoencoder in Smart Grid: A Federated Learning Approach","display_name":"Anomaly Detection Using LSTM-Autoencoder in Smart Grid: A Federated Learning Approach","publication_year":2023,"publication_date":"2023-08-17","ids":{"openalex":"https://openalex.org/W4387247261","doi":"https://doi.org/10.1145/3616131.3616138"},"language":"en","primary_location":{"id":"doi:10.1145/3616131.3616138","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3616131.3616138","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 7th International Conference on Cloud and Big Data Computing","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/A5091829885","display_name":"Mohammadreza Mohammadi","orcid":"https://orcid.org/0000-0002-8470-3277"},"institutions":[{"id":"https://openalex.org/I2800664555","display_name":"RISE Research Institutes of Sweden","ror":"https://ror.org/03nnxqz81","country_code":"SE","type":"other","lineage":["https://openalex.org/I2800664555"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Mohammadreza Mohammadi","raw_affiliation_strings":["Rise Research Institute of Sweden (RISE), Sweden"],"raw_orcid":"https://orcid.org/0000-0002-8470-3277","affiliations":[{"raw_affiliation_string":"Rise Research Institute of Sweden (RISE), Sweden","institution_ids":["https://openalex.org/I2800664555"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016138282","display_name":"Rakesh Shrestha","orcid":"https://orcid.org/0000-0002-3719-7295"},"institutions":[{"id":"https://openalex.org/I2800664555","display_name":"RISE Research Institutes of Sweden","ror":"https://ror.org/03nnxqz81","country_code":"SE","type":"other","lineage":["https://openalex.org/I2800664555"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Rakesh Shrestha","raw_affiliation_strings":["Rise Research Institute of Sweden (RISE), Sweden"],"raw_orcid":"https://orcid.org/0000-0002-3719-7295","affiliations":[{"raw_affiliation_string":"Rise Research Institute of Sweden (RISE), Sweden","institution_ids":["https://openalex.org/I2800664555"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047452403","display_name":"Sima Sinaei","orcid":"https://orcid.org/0000-0001-5951-9374"},"institutions":[{"id":"https://openalex.org/I2800664555","display_name":"RISE Research Institutes of Sweden","ror":"https://ror.org/03nnxqz81","country_code":"SE","type":"other","lineage":["https://openalex.org/I2800664555"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Sima Sinaei","raw_affiliation_strings":["Rise Research Institute of Sweden (RISE), Sweden"],"raw_orcid":"https://orcid.org/0000-0001-5951-9374","affiliations":[{"raw_affiliation_string":"Rise Research Institute of Sweden (RISE), Sweden","institution_ids":["https://openalex.org/I2800664555"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021670801","display_name":"Alberto Salcines","orcid":"https://orcid.org/0009-0008-2357-5137"},"institutions":[{"id":"https://openalex.org/I4210088498","display_name":"Tecnolog\u00edas Servicios Telem\u00e1ticos y Sistemas","ror":"https://ror.org/0048c7h22","country_code":"ES","type":"company","lineage":["https://openalex.org/I4210088498"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Alberto Salcines","raw_affiliation_strings":["TST, Spain"],"raw_orcid":"https://orcid.org/0009-0008-2357-5137","affiliations":[{"raw_affiliation_string":"TST, Spain","institution_ids":["https://openalex.org/I4210088498"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063877229","display_name":"David Pampliega","orcid":"https://orcid.org/0000-0003-3688-8024"},"institutions":[{"id":"https://openalex.org/I4210110986","display_name":"Schneider Electric (Spain)","ror":"https://ror.org/01wan7431","country_code":"ES","type":"company","lineage":["https://openalex.org/I1305429183","https://openalex.org/I4210110986"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"David Pampliega","raw_affiliation_strings":["Schneider Electric, Spain"],"raw_orcid":"https://orcid.org/0000-0003-3688-8024","affiliations":[{"raw_affiliation_string":"Schneider Electric, Spain","institution_ids":["https://openalex.org/I4210110986"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003578625","display_name":"Raul Clemente","orcid":"https://orcid.org/0009-0001-9710-1558"},"institutions":[{"id":"https://openalex.org/I4210110986","display_name":"Schneider Electric (Spain)","ror":"https://ror.org/01wan7431","country_code":"ES","type":"company","lineage":["https://openalex.org/I1305429183","https://openalex.org/I4210110986"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Raul Clemente","raw_affiliation_strings":["Schneider Electric, Spain"],"raw_orcid":"https://orcid.org/0009-0001-9710-1558","affiliations":[{"raw_affiliation_string":"Schneider Electric, Spain","institution_ids":["https://openalex.org/I4210110986"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5023335578","display_name":"Ana Lourdes Sanz","orcid":"https://orcid.org/0009-0009-1929-9587"},"institutions":[{"id":"https://openalex.org/I4210110986","display_name":"Schneider Electric (Spain)","ror":"https://ror.org/01wan7431","country_code":"ES","type":"company","lineage":["https://openalex.org/I1305429183","https://openalex.org/I4210110986"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Ana Lourdes Sanz","raw_affiliation_strings":["Schneider Electric, Spain"],"raw_orcid":"https://orcid.org/0009-0009-1929-9587","affiliations":[{"raw_affiliation_string":"Schneider Electric, Spain","institution_ids":["https://openalex.org/I4210110986"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":7,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.3276,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.81993013,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"48","last_page":"54"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10400","display_name":"Network Security and Intrusion Detection","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T10400","display_name":"Network Security and Intrusion Detection","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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":0.9997000098228455,"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/T10917","display_name":"Smart Grid Security and Resilience","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/anomaly-detection","display_name":"Anomaly detection","score":0.910598635673523},{"id":"https://openalex.org/keywords/autoencoder","display_name":"Autoencoder","score":0.8123209476470947},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7635129690170288},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6806765198707581},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5961778163909912},{"id":"https://openalex.org/keywords/anomaly","display_name":"Anomaly (physics)","score":0.5690955519676208},{"id":"https://openalex.org/keywords/smart-grid","display_name":"Smart grid","score":0.5646752715110779},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5278444290161133},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5210342407226562},{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.4860265851020813},{"id":"https://openalex.org/keywords/grid","display_name":"Grid","score":0.45037710666656494},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.440339058637619},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3978998064994812},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3441474139690399},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.33765724301338196},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.16521409153938293},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.12814700603485107}],"concepts":[{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.910598635673523},{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.8123209476470947},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7635129690170288},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6806765198707581},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5961778163909912},{"id":"https://openalex.org/C12997251","wikidata":"https://www.wikidata.org/wiki/Q567560","display_name":"Anomaly (physics)","level":2,"score":0.5690955519676208},{"id":"https://openalex.org/C10558101","wikidata":"https://www.wikidata.org/wiki/Q689855","display_name":"Smart grid","level":2,"score":0.5646752715110779},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5278444290161133},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5210342407226562},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.4860265851020813},{"id":"https://openalex.org/C187691185","wikidata":"https://www.wikidata.org/wiki/Q2020720","display_name":"Grid","level":2,"score":0.45037710666656494},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.440339058637619},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3978998064994812},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3441474139690399},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.33765724301338196},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.16521409153938293},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.12814700603485107},{"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/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"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/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/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C26873012","wikidata":"https://www.wikidata.org/wiki/Q214781","display_name":"Condensed matter physics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3616131.3616138","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3616131.3616138","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 7th International Conference on Cloud and Big Data Computing","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":31,"referenced_works":["https://openalex.org/W1980021673","https://openalex.org/W2156633815","https://openalex.org/W2296719434","https://openalex.org/W2398119937","https://openalex.org/W2541884796","https://openalex.org/W2604738573","https://openalex.org/W2703322333","https://openalex.org/W2885316547","https://openalex.org/W2921615591","https://openalex.org/W2949522309","https://openalex.org/W2979430823","https://openalex.org/W3019305901","https://openalex.org/W3024079099","https://openalex.org/W3027008391","https://openalex.org/W3034680073","https://openalex.org/W3045372620","https://openalex.org/W3101969501","https://openalex.org/W3109037541","https://openalex.org/W3120606901","https://openalex.org/W3155912831","https://openalex.org/W3159080474","https://openalex.org/W3196498627","https://openalex.org/W3198435411","https://openalex.org/W3210367596","https://openalex.org/W3212466838","https://openalex.org/W3214093725","https://openalex.org/W4221085381","https://openalex.org/W4224288360","https://openalex.org/W4254207912","https://openalex.org/W4297687186","https://openalex.org/W4316660992"],"related_works":["https://openalex.org/W3186512740","https://openalex.org/W2499612753","https://openalex.org/W3017266184","https://openalex.org/W2918377632","https://openalex.org/W3202913553","https://openalex.org/W3194885736","https://openalex.org/W3046391934","https://openalex.org/W4363671829","https://openalex.org/W3111802945","https://openalex.org/W2946096271"],"abstract_inverted_index":{"ABSTRACT.":[0],"Anomaly":[1],"detection":[2,43,58,73,133,156],"is":[3,48,138],"critical":[4],"in":[5,59],"industrial":[6],"systems":[7,12],"such":[8],"as":[9,172],"smart":[10,21,60],"grid":[11,22,61,85],"to":[13,38,52,149],"guarantee":[14],"their":[15,127],"safe":[16],"and":[17,27,121,125,175],"effective":[18],"operation.":[19],"The":[20,88,159],"stations":[23],"contain":[24],"sensitive":[25],"data,":[26],"they":[28],"are":[29,163],"concerned":[30],"about":[31],"sharing":[32],"it":[33],"with":[34,115,129,144,165],"a":[35,40,49,66,79,130,173],"third-party":[36],"server":[37],"establish":[39],"centralized":[41,167,184],"anomaly":[42,57,72,101,132,155],"system.":[44],"Federated":[45],"Learning":[46],"(FL)":[47],"feasible":[50],"solution":[51],"these":[53],"problems":[54],"for":[55,68,100,140],"enhancing":[56],"systems.":[62],"This":[63],"study":[64],"describes":[65],"method":[67],"developing":[69],"an":[70,136],"unsupervised":[71],"based":[74,82],"on":[75,83],"FL":[76,157,160,180],"system":[77,86],"using":[78],"synthetic":[80,142],"dataset":[81],"real-world":[84],"behavior.":[87],"paper":[89],"investigates":[90],"the":[91,110,151,154,166,170,176,183],"usage":[92],"of":[93,112,147,153,169],"FL's":[94],"long":[95],"short-term":[96],"memory":[97],"autoencoder":[98],"(LSTM-AE)":[99],"detection.":[102],"For":[103],"more":[104],"accurate":[105],"identification,":[106],"this":[107],"research":[108],"explores":[109],"performance":[111],"integrating":[113],"LSTM-AE":[114],"one-class":[116],"support":[117],"vector":[118],"machine":[119],"(OC-SVM)":[120],"isolation":[122],"forest":[123],"(IF)":[124],"compares":[126],"results":[128,162,177],"threshold-based":[131],"approach.":[134],"Moreover,":[135],"approach":[137,185],"described":[139],"generating":[141],"anomalies":[143],"different":[145],"levels":[146],"difficulty":[148],"evaluate":[150],"robustness":[152],"model.":[158],"models":[161,171,181],"compared":[164],"version":[168],"baseline":[174],"show":[178],"that":[179],"outperformed":[182],"by":[186,191],"detecting":[187],"higher":[188],"outlier":[189],"data":[190],"achieving":[192],"99%":[193],"F1-Score.":[194]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":4}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}