{"id":"https://openalex.org/W2146016285","doi":"https://doi.org/10.1109/pesmg.2013.6672073","title":"A probabilistic load modelling approach using clustering algorithms","display_name":"A probabilistic load modelling approach using clustering algorithms","publication_year":2013,"publication_date":"2013-01-01","ids":{"openalex":"https://openalex.org/W2146016285","doi":"https://doi.org/10.1109/pesmg.2013.6672073","mag":"2146016285"},"language":"en","primary_location":{"id":"doi:10.1109/pesmg.2013.6672073","doi":"https://doi.org/10.1109/pesmg.2013.6672073","is_oa":false,"landing_page_url":"https://doi.org/10.1109/pesmg.2013.6672073","pdf_url":null,"source":{"id":"https://openalex.org/S4210212590","display_name":"IEEE Power Engineering Society General Meeting","issn_l":"1932-5517","issn":["1932-5517","2693-7891"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core"],"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE Power & Energy Society General Meeting","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"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/A5010071291","display_name":"Mohamed S. ElNozahy","orcid":"https://orcid.org/0000-0002-3036-5487","observed_orcids":["https://orcid.org/0000-0002-3036-5487"]},"institutions":[{"id":"https://openalex.org/I151746483","display_name":"University of Waterloo","ror":"https://ror.org/01aff2v68","country_code":"CA","type":"education","lineage":["https://openalex.org/I151746483"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"M. S. ElNozahy","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Waterloo, Waterloo, ON, Canada","[Dept. of Electr. & Comput. Eng., Univ. of Waterloo, Waterloo, ON, Canada]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Waterloo, Waterloo, ON, Canada","institution_ids":["https://openalex.org/I151746483"]},{"raw_affiliation_string":"[Dept. of Electr. & Comput. Eng., Univ. of Waterloo, Waterloo, ON, Canada]","institution_ids":["https://openalex.org/I151746483"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041719424","display_name":"Magdy M. A. Salama","orcid":"https://orcid.org/0000-0002-3970-4844","observed_orcids":["https://orcid.org/0000-0002-3970-4844"]},"institutions":[{"id":"https://openalex.org/I151746483","display_name":"University of Waterloo","ror":"https://ror.org/01aff2v68","country_code":"CA","type":"education","lineage":["https://openalex.org/I151746483"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"M. M. A. Salama","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Waterloo, Waterloo, ON, Canada","[Dept. of Electr. & Comput. Eng., Univ. of Waterloo, Waterloo, ON, Canada]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Waterloo, Waterloo, ON, Canada","institution_ids":["https://openalex.org/I151746483"]},{"raw_affiliation_string":"[Dept. of Electr. & Comput. Eng., Univ. of Waterloo, Waterloo, ON, Canada]","institution_ids":["https://openalex.org/I151746483"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5091469706","display_name":"Ravi Seethapathy","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I6615443","display_name":"Hydro One (Canada)","ror":"https://ror.org/01q4pk532","country_code":"CA","type":"company","lineage":["https://openalex.org/I6615443"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"R. Seethapathy","raw_affiliation_strings":["Hydro One Network Inc., Toronto, On, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hydro One Network Inc., Toronto, On, Canada","institution_ids":["https://openalex.org/I6615443"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.6291,"has_fulltext":false,"cited_by_count":46,"citation_normalized_percentile":{"value":0.83608857,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11052","display_name":"Energy Load and Power Forecasting","score":0.8866999745368958,"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/T11052","display_name":"Energy Load and Power Forecasting","score":0.8866999745368958,"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/T10603","display_name":"Smart Grid Energy Management","score":0.0706000030040741,"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/T11941","display_name":"Power System Reliability and Maintenance","score":0.004600000102072954,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"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/load-profiles","display_name":"electricity profile","score":0.6499999761581421},{"id":"https://openalex.org/keywords/clustering-algorithms","display_name":"clustering algorithms","score":0.7139999866485596},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"principal component analysis","score":0.8240000009536743},{"id":"https://openalex.org/keywords/hourly-load-data","display_name":"hourly load data","score":0.843999981880188}],"concepts":[{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.8222775459289551},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.8083984851837158},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.6499666571617126},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6075283288955688},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5465013384819031},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4935346841812134},{"id":"https://openalex.org/C164866538","wikidata":"https://www.wikidata.org/wiki/Q367351","display_name":"Cluster (spacecraft)","level":2,"score":0.49153193831443787},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4707387387752533},{"id":"https://openalex.org/C114289077","wikidata":"https://www.wikidata.org/wiki/Q3284399","display_name":"Statistical model","level":2,"score":0.46789467334747314},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3817303776741028},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.27392271161079407},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/pesmg.2013.6672073","doi":"https://doi.org/10.1109/pesmg.2013.6672073","is_oa":false,"landing_page_url":"https://doi.org/10.1109/pesmg.2013.6672073","pdf_url":null,"source":{"id":"https://openalex.org/S4210212590","display_name":"IEEE Power Engineering Society General Meeting","issn_l":"1932-5517","issn":["1932-5517","2693-7891"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core"],"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE Power & Energy Society General Meeting","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.6773999929428101},{"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7","score":0.571399986743927}],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W194030838","https://openalex.org/W1555148682","https://openalex.org/W1965760136","https://openalex.org/W1990368529","https://openalex.org/W1996747841","https://openalex.org/W2033225140","https://openalex.org/W2051224630","https://openalex.org/W2094510831","https://openalex.org/W2103226621","https://openalex.org/W2123509976","https://openalex.org/W2123890255","https://openalex.org/W2138503367","https://openalex.org/W2144268297","https://openalex.org/W2160534240"],"related_works":["https://openalex.org/W2378971471","https://openalex.org/W4401017039","https://openalex.org/W1837502168","https://openalex.org/W2160534240","https://openalex.org/W2376833624","https://openalex.org/W3038370736","https://openalex.org/W2376114616","https://openalex.org/W3020126078","https://openalex.org/W3217632243","https://openalex.org/W2904441260"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"a":[3,69],"novel":[4],"probabilistic":[5,127],"load":[6],"modeling":[7],"approach":[8,13],"is":[9,72,79,110],"presented.":[10],"The":[11,32,81,121],"proposed":[12,85],"starts":[14],"by":[15],"grouping":[16],"the":[17,22,38,84,95,113,118,138],"24":[18],"data":[19,30,35],"points":[20],"representing":[21,37],"hourly":[23],"loading":[24,41],"of":[25,77,83,99,134,141],"each":[26,67],"day":[27],"in":[28,90],"one":[29,61],"segment.":[31],"resulting":[33],"365":[34],"segments":[36,52,116,124],"whole":[39,119],"year":[40],"profile":[42],"are":[43,57,125],"evaluated":[44],"for":[45],"similarities":[46],"using":[47,63],"principle":[48],"component":[49],"analysis;":[50],"then":[51],"with":[53],"similar":[54],"principal":[55],"components":[56],"grouped":[58],"together":[59],"into":[60,103],"cluster":[62,68],"clustering":[64],"algorithms.":[65],"For":[66],"representative":[70,115,123],"segment":[71],"selected":[73,114],"and":[74],"its":[75],"probability":[76],"occurrence":[78],"computed.":[80],"results":[82],"algorithm":[86],"can":[87],"be":[88],"used":[89],"different":[91],"studies":[92],"to":[93,131],"model":[94],"long":[96],"term":[97],"behavior":[98],"electrical":[100,142],"loads":[101],"taking":[102],"account":[104],"their":[105,132],"temporal":[106],"variations.":[107],"This":[108],"feature":[109],"possible":[111],"as":[112],"cover":[117],"year.":[120],"designated":[122],"assigned":[126],"indices":[128],"that":[129],"correspond":[130],"frequency":[133],"occurrence,":[135],"thus":[136],"preserving":[137],"stochastic":[139],"nature":[140],"loads.":[143]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":11},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":6},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":2}],"updated_date":"2026-11-07T11:25:07.637180","created_date":"2016-06-24T00:00:00"}