{"id":"https://openalex.org/W4388516500","doi":"https://doi.org/10.1109/fuzz52849.2023.10309678","title":"Fuzzy Electricity Management System with Anomaly Detection and Fuzzy Q-Learning","display_name":"Fuzzy Electricity Management System with Anomaly Detection and Fuzzy Q-Learning","publication_year":2023,"publication_date":"2023-08-13","ids":{"openalex":"https://openalex.org/W4388516500","doi":"https://doi.org/10.1109/fuzz52849.2023.10309678"},"language":"en","primary_location":{"id":"doi:10.1109/fuzz52849.2023.10309678","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/fuzz52849.2023.10309678","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 Fuzzy Systems (FUZZ)","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/A5007585185","display_name":"Jia-Hao Syu","orcid":"https://orcid.org/0000-0002-3875-9317"},"institutions":[{"id":"https://openalex.org/I16733864","display_name":"National Taiwan University","ror":"https://ror.org/05bqach95","country_code":"TW","type":"education","lineage":["https://openalex.org/I16733864"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Jia-Hao Syu","raw_affiliation_strings":["National Taiwan University,Department of Computer Science and Information Engineering,Taipei,Taiwan"],"affiliations":[{"raw_affiliation_string":"National Taiwan University,Department of Computer Science and Information Engineering,Taipei,Taiwan","institution_ids":["https://openalex.org/I16733864"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000640263","display_name":"Jerry Chun\u2010Wei Lin","orcid":"https://orcid.org/0000-0001-8768-9709"},"institutions":[{"id":"https://openalex.org/I179863766","display_name":"Western Norway University of Applied Sciences","ror":"https://ror.org/05phns765","country_code":"NO","type":"education","lineage":["https://openalex.org/I179863766"]}],"countries":["NO"],"is_corresponding":false,"raw_author_name":"Jerry Chun-Wei Lin","raw_affiliation_strings":["Western Norway University of Applied Sciences,Department of Computer Science, Electrical Engineering and Mathematical Sciences,Bergen,Norway"],"affiliations":[{"raw_affiliation_string":"Western Norway University of Applied Sciences,Department of Computer Science, Electrical Engineering and Mathematical Sciences,Bergen,Norway","institution_ids":["https://openalex.org/I179863766"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5041541232","display_name":"Gautam Srivastava","orcid":"https://orcid.org/0000-0001-9851-4103"},"institutions":[{"id":"https://openalex.org/I48890080","display_name":"Brandon University","ror":"https://ror.org/02qp25a50","country_code":"CA","type":"education","lineage":["https://openalex.org/I48890080"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Gautam Srivastava","raw_affiliation_strings":["Brandon University,Department of Mathematics & Computer Science,Brandon,Canada"],"affiliations":[{"raw_affiliation_string":"Brandon University,Department of Mathematics & Computer Science,Brandon,Canada","institution_ids":["https://openalex.org/I48890080"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5007585185"],"corresponding_institution_ids":["https://openalex.org/I16733864"],"apc_list":null,"apc_paid":null,"fwci":0.1876,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.49488381,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10917","display_name":"Smart Grid Security and Resilience","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T10917","display_name":"Smart Grid Security and Resilience","score":0.9998999834060669,"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"}},{"id":"https://openalex.org/T13429","display_name":"Electricity Theft Detection Techniques","score":0.9995999932289124,"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/T10400","display_name":"Network Security and Intrusion Detection","score":0.9966999888420105,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/smart-grid","display_name":"Smart grid","score":0.6676024198532104},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.6195292472839355},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.599945068359375},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5907526612281799},{"id":"https://openalex.org/keywords/stability","display_name":"Stability (learning theory)","score":0.5630086660385132},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.537868082523346},{"id":"https://openalex.org/keywords/energy-management","display_name":"Energy management","score":0.5086634755134583},{"id":"https://openalex.org/keywords/anomaly","display_name":"Anomaly (physics)","score":0.5008454322814941},{"id":"https://openalex.org/keywords/mains-electricity","display_name":"Mains electricity","score":0.465290904045105},{"id":"https://openalex.org/keywords/electricity","display_name":"Electricity","score":0.45569083094596863},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4417261481285095},{"id":"https://openalex.org/keywords/rate-of-convergence","display_name":"Rate of convergence","score":0.4416767656803131},{"id":"https://openalex.org/keywords/fuzzy-control-system","display_name":"Fuzzy control system","score":0.43234142661094666},{"id":"https://openalex.org/keywords/grid","display_name":"Grid","score":0.4145495593547821},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.41069167852401733},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.40346240997314453},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3522775173187256},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.2626846432685852},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.2591162919998169},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.1512601375579834},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14329993724822998},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.09904873371124268},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.08657845854759216},{"id":"https://openalex.org/keywords/systems-engineering","display_name":"Systems engineering","score":0.08570036292076111}],"concepts":[{"id":"https://openalex.org/C10558101","wikidata":"https://www.wikidata.org/wiki/Q689855","display_name":"Smart grid","level":2,"score":0.6676024198532104},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.6195292472839355},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.599945068359375},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5907526612281799},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.5630086660385132},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.537868082523346},{"id":"https://openalex.org/C7817414","wikidata":"https://www.wikidata.org/wiki/Q1779504","display_name":"Energy management","level":3,"score":0.5086634755134583},{"id":"https://openalex.org/C12997251","wikidata":"https://www.wikidata.org/wiki/Q567560","display_name":"Anomaly (physics)","level":2,"score":0.5008454322814941},{"id":"https://openalex.org/C184773241","wikidata":"https://www.wikidata.org/wiki/Q387400","display_name":"Mains electricity","level":3,"score":0.465290904045105},{"id":"https://openalex.org/C206658404","wikidata":"https://www.wikidata.org/wiki/Q12725","display_name":"Electricity","level":2,"score":0.45569083094596863},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4417261481285095},{"id":"https://openalex.org/C57869625","wikidata":"https://www.wikidata.org/wiki/Q1783502","display_name":"Rate of convergence","level":3,"score":0.4416767656803131},{"id":"https://openalex.org/C195975749","wikidata":"https://www.wikidata.org/wiki/Q1475705","display_name":"Fuzzy control system","level":3,"score":0.43234142661094666},{"id":"https://openalex.org/C187691185","wikidata":"https://www.wikidata.org/wiki/Q2020720","display_name":"Grid","level":2,"score":0.4145495593547821},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.41069167852401733},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.40346240997314453},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3522775173187256},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.2626846432685852},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2591162919998169},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.1512601375579834},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14329993724822998},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.09904873371124268},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.08657845854759216},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.08570036292076111},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"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},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.0},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.0},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","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},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/fuzz52849.2023.10309678","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/fuzz52849.2023.10309678","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 Fuzzy Systems (FUZZ)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","score":0.8999999761581421,"display_name":"Affordable and clean energy"}],"awards":[{"id":"https://openalex.org/G7214576816","display_name":null,"funder_award_id":"NOR/POLNOR/CoBotAGV/0027/2019-00","funder_id":"https://openalex.org/F4320335039","funder_display_name":"Narodowe Centrum Bada\u0144 i Rozwoju"}],"funders":[{"id":"https://openalex.org/F4320335039","display_name":"Narodowe Centrum Bada\u0144 i Rozwoju","ror":"https://ror.org/05pwfyy15"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W2076556084","https://openalex.org/W2799080304","https://openalex.org/W2899283404","https://openalex.org/W2922358507","https://openalex.org/W2969583644","https://openalex.org/W3000632091","https://openalex.org/W3015710163","https://openalex.org/W3018779742","https://openalex.org/W3022720331","https://openalex.org/W3024779795","https://openalex.org/W3087118525","https://openalex.org/W3102843917","https://openalex.org/W3117109798","https://openalex.org/W3133774034","https://openalex.org/W3134408425","https://openalex.org/W3195699963","https://openalex.org/W4293011149","https://openalex.org/W4293143812","https://openalex.org/W4318186110","https://openalex.org/W4321763369","https://openalex.org/W4365398207","https://openalex.org/W4379031119"],"related_works":["https://openalex.org/W2267082454","https://openalex.org/W1986012101","https://openalex.org/W2808272244","https://openalex.org/W4254154279","https://openalex.org/W2513110030","https://openalex.org/W1780710846","https://openalex.org/W2751256511","https://openalex.org/W2499005276","https://openalex.org/W4312501103","https://openalex.org/W3037868018"],"abstract_inverted_index":{"Smart":[0],"grid":[1,67,143],"management":[2,47,91],"is":[3,26],"an":[4,52],"emerging":[5],"research":[6],"topic":[7],"that":[8,72],"recently":[9],"has":[10],"adopted":[11],"artificial":[12],"intelligence":[13],"algorithms":[14],"to":[15,138],"assist":[16],"in":[17,115],"the":[18,34,73,90,109,112,122,139],"task.":[19],"However,":[20],"as":[21],"more":[22,24],"and":[23,30,60,81,99,145],"data":[25,28],"used,":[27],"insecurity":[29],"cyber-physical":[31],"attacks":[32],"hinder":[33],"performance":[35],"of":[36,51,104,111,133],"intelligent":[37],"systems.":[38,87],"In":[39],"this":[40],"paper,":[41],"we":[42],"propose":[43],"a":[44,61,129],"fuzzy":[45,62],"electricity":[46],"system":[48],"(FEMS)":[49],"consisting":[50],"attention-based":[53],"anomaly":[54,75],"detection":[55,76],"module":[56,65,77],"for":[57,66,89],"attack":[58],"classification":[59],"Q-learning":[63],"decision":[64],"management.":[68],"Experimental":[69],"results":[70],"show":[71],"proposed":[74,113],"achieves":[78,94,121],"high":[79],"accuracy":[80],"F1":[82],"scores,":[83],"significantly":[84],"outperforming":[85],"state-of-the-art":[86],"As":[88],"evaluation,":[92],"FEMS":[93,114,120],"extremely":[95],"low":[96],"convergence":[97],"days":[98],"mean":[100],"absolute":[101],"error":[102],"(MAE)":[103],"supply":[105,117],"distribution,":[106],"which":[107],"proves":[108],"effectiveness":[110],"shaping":[116],"distribution.":[118],"Moreover,":[119],"lowest":[123],"failure":[124],"rate":[125,136],"(highest":[126],"stability)":[127],"but":[128],"slightly":[130],"higher":[131],"MAE":[132],"operating":[134],"reserve":[135],"due":[137],"unavoidable":[140],"trade-off":[141],"between":[142],"stability":[144],"energy":[146],"efficiency.":[147]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2025-12-21T01:58:51.020947","created_date":"2025-10-10T00:00:00"}