{"id":"https://openalex.org/W4405306448","doi":"https://doi.org/10.1109/besc64747.2024.10780628","title":"An Efficient Anomaly Detection Model of Power Consumption Behavior for Industrial Customers","display_name":"An Efficient Anomaly Detection Model of Power Consumption Behavior for Industrial Customers","publication_year":2024,"publication_date":"2024-08-16","ids":{"openalex":"https://openalex.org/W4405306448","doi":"https://doi.org/10.1109/besc64747.2024.10780628"},"language":"en","primary_location":{"id":"doi:10.1109/besc64747.2024.10780628","is_oa":false,"landing_page_url":"https://doi.org/10.1109/besc64747.2024.10780628","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 11th International Conference on Behavioural and Social Computing (BESC)","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":null,"display_name":"Jiayu Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Jiayu Wang","raw_affiliation_strings":["State Grid Shanghai Pudong Electric Power Supply Company,Shanghai,China"],"affiliations":[{"raw_affiliation_string":"State Grid Shanghai Pudong Electric Power Supply Company,Shanghai,China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046894730","display_name":"Yun Chen","orcid":"https://orcid.org/0000-0002-5770-8224"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yun Chen","raw_affiliation_strings":["State Grid Shanghai Pudong Electric Power Supply Company,Shanghai,China"],"affiliations":[{"raw_affiliation_string":"State Grid Shanghai Pudong Electric Power Supply Company,Shanghai,China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081342897","display_name":"Ran Geng","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ran Geng","raw_affiliation_strings":["State Grid Shanghai Pudong Electric Power Supply Company,Shanghai,China"],"affiliations":[{"raw_affiliation_string":"State Grid Shanghai Pudong Electric Power Supply Company,Shanghai,China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071162160","display_name":"Wenkai Zhao","orcid":"https://orcid.org/0000-0002-7570-9482"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wenkai Zhao","raw_affiliation_strings":["State Grid Shanghai Pudong Electric Power Supply Company,Shanghai,China"],"affiliations":[{"raw_affiliation_string":"State Grid Shanghai Pudong Electric Power Supply Company,Shanghai,China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068856668","display_name":"Zhijun Pan","orcid":"https://orcid.org/0000-0002-4618-5990"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhijun Pan","raw_affiliation_strings":["State Grid Shanghai Pudong Electric Power Supply Company,Shanghai,China"],"affiliations":[{"raw_affiliation_string":"State Grid Shanghai Pudong Electric Power Supply Company,Shanghai,China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027879749","display_name":"Chaoran Fu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chaoran Fu","raw_affiliation_strings":["State Grid Shanghai Pudong Electric Power Supply Company,Shanghai,China"],"affiliations":[{"raw_affiliation_string":"State Grid Shanghai Pudong Electric Power Supply Company,Shanghai,China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022094114","display_name":"Xiaohui Wang","orcid":"https://orcid.org/0000-0001-9805-1698"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xiaohui Wang","raw_affiliation_strings":["State Grid Shanghai Pudong Electric Power Supply Company,Shanghai,China"],"affiliations":[{"raw_affiliation_string":"State Grid Shanghai Pudong Electric Power Supply Company,Shanghai,China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019490555","display_name":"Tonghao Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I23632641","display_name":"Shanghai University of Electric Power","ror":"https://ror.org/02w4tny03","country_code":"CN","type":"education","lineage":["https://openalex.org/I23632641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tonghao Chen","raw_affiliation_strings":["Shanghai University of Electric Power,Shanghai,China"],"affiliations":[{"raw_affiliation_string":"Shanghai University of Electric Power,Shanghai,China","institution_ids":["https://openalex.org/I23632641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101355209","display_name":"Yiwen Cai","orcid":null},"institutions":[{"id":"https://openalex.org/I23632641","display_name":"Shanghai University of Electric Power","ror":"https://ror.org/02w4tny03","country_code":"CN","type":"education","lineage":["https://openalex.org/I23632641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yiwen Cai","raw_affiliation_strings":["Shanghai University of Electric Power,Shanghai,China"],"affiliations":[{"raw_affiliation_string":"Shanghai University of Electric Power,Shanghai,China","institution_ids":["https://openalex.org/I23632641"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5028781275","display_name":"Haizhou Du","orcid":"https://orcid.org/0000-0002-1875-5159"},"institutions":[{"id":"https://openalex.org/I23632641","display_name":"Shanghai University of Electric Power","ror":"https://ror.org/02w4tny03","country_code":"CN","type":"education","lineage":["https://openalex.org/I23632641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haizhou Du","raw_affiliation_strings":["Shanghai University of Electric Power,Shanghai,China"],"affiliations":[{"raw_affiliation_string":"Shanghai University of Electric Power,Shanghai,China","institution_ids":["https://openalex.org/I23632641"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":10,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.13313662,"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/T13975","display_name":"Energy, Economy, and Technology Trends","score":0.6177999973297119,"subfield":{"id":"https://openalex.org/subfields/2105","display_name":"Renewable Energy, Sustainability and the Environment"},"field":{"id":"https://openalex.org/fields/21","display_name":"Energy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T13975","display_name":"Energy, Economy, and Technology Trends","score":0.6177999973297119,"subfield":{"id":"https://openalex.org/subfields/2105","display_name":"Renewable Energy, Sustainability and the Environment"},"field":{"id":"https://openalex.org/fields/21","display_name":"Energy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13535","display_name":"Wireless Sensor Networks and IoT","score":0.6000000238418579,"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.5911999940872192,"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/power-consumption","display_name":"Power consumption","score":0.692089855670929},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.6891356706619263},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.585178017616272},{"id":"https://openalex.org/keywords/consumption","display_name":"Consumption (sociology)","score":0.5393903255462646},{"id":"https://openalex.org/keywords/anomaly","display_name":"Anomaly (physics)","score":0.49267202615737915},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.4057239592075348},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.22975489497184753}],"concepts":[{"id":"https://openalex.org/C2984118289","wikidata":"https://www.wikidata.org/wiki/Q29954","display_name":"Power consumption","level":3,"score":0.692089855670929},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.6891356706619263},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.585178017616272},{"id":"https://openalex.org/C30772137","wikidata":"https://www.wikidata.org/wiki/Q5164762","display_name":"Consumption (sociology)","level":2,"score":0.5393903255462646},{"id":"https://openalex.org/C12997251","wikidata":"https://www.wikidata.org/wiki/Q567560","display_name":"Anomaly (physics)","level":2,"score":0.49267202615737915},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.4057239592075348},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.22975489497184753},{"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/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","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/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","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/besc64747.2024.10780628","is_oa":false,"landing_page_url":"https://doi.org/10.1109/besc64747.2024.10780628","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 11th International Conference on Behavioural and Social Computing (BESC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8600000143051147,"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W119403003","https://openalex.org/W1527630982","https://openalex.org/W1788497923","https://openalex.org/W2064675550","https://openalex.org/W2105510466","https://openalex.org/W2162174678","https://openalex.org/W2295598076","https://openalex.org/W2296719434","https://openalex.org/W2469098733","https://openalex.org/W2584499795","https://openalex.org/W2786827964","https://openalex.org/W2803255133","https://openalex.org/W2808295783","https://openalex.org/W2906498146","https://openalex.org/W2910759469","https://openalex.org/W2970705010","https://openalex.org/W2992249713","https://openalex.org/W3217174898","https://openalex.org/W4206151196","https://openalex.org/W4255715712","https://openalex.org/W4304109055","https://openalex.org/W4313342723","https://openalex.org/W4367281833","https://openalex.org/W4384945956","https://openalex.org/W4386493929","https://openalex.org/W6635593171","https://openalex.org/W6637131181","https://openalex.org/W6678914141","https://openalex.org/W6920808011"],"related_works":["https://openalex.org/W2806741695","https://openalex.org/W4290647774","https://openalex.org/W3189286258","https://openalex.org/W3207797160","https://openalex.org/W3210364259","https://openalex.org/W4300558037","https://openalex.org/W2667207928","https://openalex.org/W2912112202","https://openalex.org/W4377864969","https://openalex.org/W3120251014"],"abstract_inverted_index":{"The":[0],"timely":[1],"detection":[2,70,118,156],"of":[3,15,27,48,92,119,138],"anomalies":[4],"in":[5,43,52,56,122,132,154,165],"power":[6,60,124,172],"consumption":[7,61,98,125,173],"behavior":[8],"is":[9],"crucial":[10],"for":[11,19,35,73,106,112],"enhancing":[12],"the":[13,20,24,78,90,103,117,134,145],"efficiency":[14,135],"supply":[16],"and":[17,31,46,55,96,109,136,158,181],"management":[18],"State":[21],"Grid,":[22],"ensuring":[23],"normal":[25],"operation":[26],"enterprise":[28],"production":[29],"equipment,":[30],"enabling":[32],"cost-saving":[33],"measures":[34],"users.":[36],"However,":[37],"current":[38],"methods":[39],"face":[40],"significant":[41,130],"challenges":[42],"real-time":[44,139],"processing":[45],"analysis":[47],"large-scale":[49],"data,":[50],"particularly":[51],"industrial":[53,74,123],"contexts,":[54],"accurately":[57,182],"identifying":[58],"genuine":[59],"anomalies.":[62,184],"This":[63],"paper":[64],"presents":[65],"Sleuth,":[66],"an":[67],"efficient":[68],"anomaly":[69,140,155],"model":[71,128],"tailored":[72],"customers.":[75],"Sleuth":[76,115,150],"integrates":[77],"Matrix":[79,104],"Profile":[80,105],"technique":[81],"with":[82],"Long":[83],"Short-Term":[84],"Memory":[85],"(LSTM)":[86],"networks":[87,111],"to":[88,161,179],"address":[89],"complexities":[91],"temporal":[93],"pattern":[94],"recognition":[95],"future":[97],"value":[99],"prediction.":[100],"By":[101],"leveraging":[102],"feature":[107],"extraction":[108],"LSTM":[110],"precise":[113],"forecasting,":[114],"enhances":[116],"key":[120],"features":[121],"data.":[126],"Our":[127],"demonstrates":[129],"improvements":[131],"both":[133],"accuracy":[137],"detection.":[141],"Empirical":[142],"results":[143],"on":[144,170],"ECG":[146],"dataset":[147],"show":[148],"that":[149],"outperforms":[151],"existing":[152],"models":[153],"performance":[157],"achieves":[159],"up":[160],"a":[162],"48%":[163],"reduction":[164],"training":[166],"time.":[167],"Validation":[168],"experiments":[169],"real-world":[171],"datasets":[174],"further":[175],"confirm":[176],"Sleuth's":[177],"capability":[178],"swiftly":[180],"identify":[183]},"counts_by_year":[],"updated_date":"2026-04-21T08:09:41.155169","created_date":"2025-10-10T00:00:00"}