{"id":"https://openalex.org/W2907630615","doi":"https://doi.org/10.1109/smartgridcomm.2018.8587597","title":"An Anomaly Detection Model for Enhancing Energy Management in Smart Buildings","display_name":"An Anomaly Detection Model for Enhancing Energy Management in Smart Buildings","publication_year":2018,"publication_date":"2018-10-01","ids":{"openalex":"https://openalex.org/W2907630615","doi":"https://doi.org/10.1109/smartgridcomm.2018.8587597","mag":"2907630615"},"language":"en","primary_location":{"id":"doi:10.1109/smartgridcomm.2018.8587597","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smartgridcomm.2018.8587597","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 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/A5073275664","display_name":"Muhammad Fahim","orcid":"https://orcid.org/0000-0001-6259-5458"},"institutions":[{"id":"https://openalex.org/I4210116741","display_name":"Innopolis University","ror":"https://ror.org/02b7jh107","country_code":"RU","type":"education","lineage":["https://openalex.org/I4210116741"]}],"countries":["RU"],"is_corresponding":true,"raw_author_name":"Muhammad Fahim","raw_affiliation_strings":["Innopolis University, Innopolis, Russian Federation"],"affiliations":[{"raw_affiliation_string":"Innopolis University, Innopolis, Russian Federation","institution_ids":["https://openalex.org/I4210116741"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5090153909","display_name":"Alberto Sillitti","orcid":null},"institutions":[{"id":"https://openalex.org/I4210116741","display_name":"Innopolis University","ror":"https://ror.org/02b7jh107","country_code":"RU","type":"education","lineage":["https://openalex.org/I4210116741"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Alberto Sillitti","raw_affiliation_strings":["Innopolis University, Innopolis, Russian Federation"],"affiliations":[{"raw_affiliation_string":"Innopolis University, Innopolis, Russian Federation","institution_ids":["https://openalex.org/I4210116741"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5073275664"],"corresponding_institution_ids":["https://openalex.org/I4210116741"],"apc_list":null,"apc_paid":null,"fwci":0.7535,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.7522581,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"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/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9977999925613403,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"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/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9977999925613403,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"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/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9937999844551086,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11052","display_name":"Energy Load and Power Forecasting","score":0.9937000274658203,"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/energy-consumption","display_name":"Energy consumption","score":0.7864617705345154},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7778233885765076},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.6504039764404297},{"id":"https://openalex.org/keywords/energy-management","display_name":"Energy management","score":0.5955775380134583},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.5874074697494507},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.513155996799469},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.49713853001594543},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.48306968808174133},{"id":"https://openalex.org/keywords/building-management-system","display_name":"Building management system","score":0.4643998444080353},{"id":"https://openalex.org/keywords/smart-grid","display_name":"Smart grid","score":0.4419625401496887},{"id":"https://openalex.org/keywords/data-visualization","display_name":"Data visualization","score":0.42598575353622437},{"id":"https://openalex.org/keywords/consumption","display_name":"Consumption (sociology)","score":0.41417625546455383},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.4106738865375519},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.37223151326179504},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2723563313484192},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.20316460728645325},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.15416932106018066},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.07790321111679077}],"concepts":[{"id":"https://openalex.org/C2780165032","wikidata":"https://www.wikidata.org/wiki/Q16869822","display_name":"Energy consumption","level":2,"score":0.7864617705345154},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7778233885765076},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.6504039764404297},{"id":"https://openalex.org/C7817414","wikidata":"https://www.wikidata.org/wiki/Q1779504","display_name":"Energy management","level":3,"score":0.5955775380134583},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.5874074697494507},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.513155996799469},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.49713853001594543},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.48306968808174133},{"id":"https://openalex.org/C106527866","wikidata":"https://www.wikidata.org/wiki/Q1489497","display_name":"Building management system","level":3,"score":0.4643998444080353},{"id":"https://openalex.org/C10558101","wikidata":"https://www.wikidata.org/wiki/Q689855","display_name":"Smart grid","level":2,"score":0.4419625401496887},{"id":"https://openalex.org/C172367668","wikidata":"https://www.wikidata.org/wiki/Q6504956","display_name":"Data visualization","level":3,"score":0.42598575353622437},{"id":"https://openalex.org/C30772137","wikidata":"https://www.wikidata.org/wiki/Q5164762","display_name":"Consumption (sociology)","level":2,"score":0.41417625546455383},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.4106738865375519},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.37223151326179504},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2723563313484192},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.20316460728645325},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.15416932106018066},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.07790321111679077},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","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/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"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/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/smartgridcomm.2018.8587597","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smartgridcomm.2018.8587597","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 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":"Affordable and clean energy","score":0.9100000262260437,"id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W1983446105","https://openalex.org/W1989813688","https://openalex.org/W2021583824","https://openalex.org/W2026041010","https://openalex.org/W2036558815","https://openalex.org/W2042850052","https://openalex.org/W2069929199","https://openalex.org/W2075698219","https://openalex.org/W2079638112","https://openalex.org/W2081733273","https://openalex.org/W2100284713","https://openalex.org/W2102961785","https://openalex.org/W2135564639","https://openalex.org/W2137226992","https://openalex.org/W2337344967","https://openalex.org/W2559280146","https://openalex.org/W2594434602","https://openalex.org/W2766307113","https://openalex.org/W2771855922","https://openalex.org/W2782015931","https://openalex.org/W2786918196","https://openalex.org/W2799669896","https://openalex.org/W2803203130","https://openalex.org/W2811453255","https://openalex.org/W4240634554","https://openalex.org/W4246647524","https://openalex.org/W6674859070","https://openalex.org/W6680532697","https://openalex.org/W6746596538","https://openalex.org/W6748503254"],"related_works":["https://openalex.org/W2810662003","https://openalex.org/W3012012463","https://openalex.org/W2002348443","https://openalex.org/W2897621408","https://openalex.org/W2120479322","https://openalex.org/W2535548666","https://openalex.org/W2999145585","https://openalex.org/W2069983945","https://openalex.org/W2763368380","https://openalex.org/W2091036197"],"abstract_inverted_index":{"Smart":[0],"buildings":[1],"provide":[2,88,144],"an":[3],"excellent":[4],"opportunity":[5],"to":[6,18,31,56,70,140,147],"monitor":[7],"the":[8,15,39,58,68,72,83,114,149],"energy":[9,21,34,64,79,84,94,150],"consumption":[10,35,151],"behavior.":[11,152],"It":[12,66],"can":[13],"assist":[14],"building":[16],"management":[17],"find":[19,32,57],"unexpected":[20],"usage":[22,85],"patterns.":[23],"In":[24,108],"this":[25,109],"research,":[26],"we":[27,112],"present":[28],"our":[29,132],"model":[30,134],"abnormal":[33],"patterns":[36],"by":[37],"analyzing":[38],"temporal":[40],"data":[41,75],"streams":[42],"gathered":[43],"from":[44,124],"smart":[45],"meters.":[46],"We":[47,81],"investigate":[48],"support":[49],"vector":[50],"regression":[51],"with":[52],"radial":[53],"basis":[54],"function":[55],"mismatch":[59],"between":[60],"actual":[61],"and":[62,76,87,105,137,143],"expected":[63,78],"consumption.":[65,80],"has":[67],"ability":[69],"map":[71],"non-linearity":[73],"of":[74],"predict":[77],"build":[82],"profile":[86],"visualization":[89],"services":[90],"over":[91,116],"it.":[92],"Furthermore,":[93],"profiles":[95],"may":[96],"be":[97],"used":[98],"for":[99],"different":[100],"objectives":[101],"including":[102],"customer":[103],"classification":[104],"load":[106,120],"forecasting.":[107],"preliminary":[110],"study,":[111],"performed":[113],"experiments":[115],"a":[117,125],"real":[118],"electrical":[119],"measurements":[121],"dataset":[122],"collected":[123],"dwelling.":[126],"The":[127],"obtained":[128],"results":[129],"suggest":[130],"that":[131],"proposed":[133],"is":[135],"feasible":[136],"practical":[138],"solution":[139],"detect":[141],"anomalies":[142],"good":[145],"insight":[146],"visualize":[148]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}