{"id":"https://openalex.org/W2917832739","doi":"https://doi.org/10.1109/access.2019.2901197","title":"A Weekly Load Data Mining Approach Based on Hidden Markov Model","display_name":"A Weekly Load Data Mining Approach Based on Hidden Markov Model","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2917832739","doi":"https://doi.org/10.1109/access.2019.2901197","mag":"2917832739"},"language":"en","primary_location":{"id":"doi:10.1109/access.2019.2901197","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2901197","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08649573.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"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":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08649573.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5014345685","display_name":"Shixiang L\u00fc","orcid":"https://orcid.org/0000-0002-3817-2196"},"institutions":[{"id":"https://openalex.org/I74872605","display_name":"China Southern Power Grid (China)","ror":"https://ror.org/03hkh9419","country_code":"CN","type":"company","lineage":["https://openalex.org/I74872605"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shixiang Lu","raw_affiliation_strings":["Metrology Center, Guangdong Power Grid Corporation, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Metrology Center, Guangdong Power Grid Corporation, Guangzhou, China","institution_ids":["https://openalex.org/I74872605"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110541735","display_name":"Guoying Lin","orcid":null},"institutions":[{"id":"https://openalex.org/I74872605","display_name":"China Southern Power Grid (China)","ror":"https://ror.org/03hkh9419","country_code":"CN","type":"company","lineage":["https://openalex.org/I74872605"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guoying Lin","raw_affiliation_strings":["Metrology Center, Guangdong Power Grid Corporation, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Metrology Center, Guangdong Power Grid Corporation, Guangzhou, China","institution_ids":["https://openalex.org/I74872605"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050043299","display_name":"Hanlin Liu","orcid":"https://orcid.org/0000-0002-2673-5289"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hanlin Liu","raw_affiliation_strings":["College of Electrical Engineering, Zhejiang University, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Electrical Engineering, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051838818","display_name":"Chengjin Ye","orcid":"https://orcid.org/0000-0002-6449-8384"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chengjin Ye","raw_affiliation_strings":["College of Electrical Engineering, Zhejiang University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-6449-8384","affiliations":[{"raw_affiliation_string":"College of Electrical Engineering, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090253065","display_name":"Huakun Que","orcid":null},"institutions":[{"id":"https://openalex.org/I74872605","display_name":"China Southern Power Grid (China)","ror":"https://ror.org/03hkh9419","country_code":"CN","type":"company","lineage":["https://openalex.org/I74872605"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huakun Que","raw_affiliation_strings":["Metrology Center, Guangdong Power Grid Corporation, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Metrology Center, Guangdong Power Grid Corporation, Guangzhou, China","institution_ids":["https://openalex.org/I74872605"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5081538711","display_name":"Yi Ding","orcid":"https://orcid.org/0000-0003-4389-5636"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yi Ding","raw_affiliation_strings":["College of Electrical Engineering, Zhejiang University, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Electrical Engineering, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":2.6855,"has_fulltext":true,"cited_by_count":33,"citation_normalized_percentile":{"value":0.90395183,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"7","issue":null,"first_page":"34609","last_page":"34619"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11052","display_name":"Energy Load and Power Forecasting","score":0.9994000196456909,"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":0.9994000196456909,"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.996999979019165,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10603","display_name":"Smart Grid Energy Management","score":0.9940000176429749,"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/computer-science","display_name":"Computer science","score":0.7724287509918213},{"id":"https://openalex.org/keywords/smart-meter","display_name":"Smart meter","score":0.6725062727928162},{"id":"https://openalex.org/keywords/hidden-markov-model","display_name":"Hidden Markov model","score":0.6679331064224243},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.6140792369842529},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.5397143959999084},{"id":"https://openalex.org/keywords/smart-grid","display_name":"Smart grid","score":0.46893882751464844},{"id":"https://openalex.org/keywords/aggregate","display_name":"Aggregate (composite)","score":0.441877156496048},{"id":"https://openalex.org/keywords/metering-mode","display_name":"Metering mode","score":0.4204162359237671},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.4192747473716736},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.3280125558376312},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.17961230874061584},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.0975637435913086}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7724287509918213},{"id":"https://openalex.org/C2779510800","wikidata":"https://www.wikidata.org/wiki/Q1630602","display_name":"Smart meter","level":3,"score":0.6725062727928162},{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.6679331064224243},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.6140792369842529},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.5397143959999084},{"id":"https://openalex.org/C10558101","wikidata":"https://www.wikidata.org/wiki/Q689855","display_name":"Smart grid","level":2,"score":0.46893882751464844},{"id":"https://openalex.org/C4679612","wikidata":"https://www.wikidata.org/wiki/Q866298","display_name":"Aggregate (composite)","level":2,"score":0.441877156496048},{"id":"https://openalex.org/C30905978","wikidata":"https://www.wikidata.org/wiki/Q815598","display_name":"Metering mode","level":2,"score":0.4204162359237671},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.4192747473716736},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3280125558376312},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.17961230874061584},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0975637435913086},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","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/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2019.2901197","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2901197","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08649573.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"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":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:4ef91f582bc64be083767d3ebbe36abe","is_oa":true,"landing_page_url":"https://doaj.org/article/4ef91f582bc64be083767d3ebbe36abe","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 7, Pp 34609-34619 (2019)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2019.2901197","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2901197","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08649573.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"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":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.6600000262260437,"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure"}],"awards":[{"id":"https://openalex.org/G443132225","display_name":null,"funder_award_id":"2018M640558","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G5515866131","display_name":null,"funder_award_id":"GDKJXM20161523","funder_id":"https://openalex.org/F4320323192","funder_display_name":"China Southern Power Grid"},{"id":"https://openalex.org/G8652062400","display_name":null,"funder_award_id":"51807173","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"},{"id":"https://openalex.org/F4320323192","display_name":"China Southern Power Grid","ror":"https://ror.org/03hkh9419"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2917832739.pdf","grobid_xml":"https://content.openalex.org/works/W2917832739.grobid-xml"},"referenced_works_count":46,"referenced_works":["https://openalex.org/W1509729369","https://openalex.org/W1543646709","https://openalex.org/W1602378003","https://openalex.org/W1746957779","https://openalex.org/W1967484865","https://openalex.org/W1973800108","https://openalex.org/W1985698504","https://openalex.org/W1992282307","https://openalex.org/W2003756933","https://openalex.org/W2014596061","https://openalex.org/W2019797830","https://openalex.org/W2036495557","https://openalex.org/W2047785918","https://openalex.org/W2066796814","https://openalex.org/W2067328650","https://openalex.org/W2078626246","https://openalex.org/W2083486669","https://openalex.org/W2089105401","https://openalex.org/W2103430225","https://openalex.org/W2110785511","https://openalex.org/W2110940238","https://openalex.org/W2115632383","https://openalex.org/W2117604780","https://openalex.org/W2127732301","https://openalex.org/W2133465592","https://openalex.org/W2143845251","https://openalex.org/W2153331007","https://openalex.org/W2162833336","https://openalex.org/W2163062247","https://openalex.org/W2169533279","https://openalex.org/W2170311029","https://openalex.org/W2187089797","https://openalex.org/W2358824780","https://openalex.org/W2546852963","https://openalex.org/W2547387675","https://openalex.org/W2608987869","https://openalex.org/W2743306721","https://openalex.org/W3141595720","https://openalex.org/W4242273151","https://openalex.org/W4242702158","https://openalex.org/W6630636088","https://openalex.org/W6676529146","https://openalex.org/W6684050148","https://openalex.org/W6729250338","https://openalex.org/W6729580194","https://openalex.org/W6737264829"],"related_works":["https://openalex.org/W4312869071","https://openalex.org/W2028978355","https://openalex.org/W25930971","https://openalex.org/W1990698919","https://openalex.org/W3018909029","https://openalex.org/W3205631650","https://openalex.org/W2077996342","https://openalex.org/W2775355700","https://openalex.org/W2561882072","https://openalex.org/W2246071452"],"abstract_inverted_index":{"With":[0],"the":[1,35,44,55,60,72,82,91,94,110,122,136,156,163,166,174,185],"development":[2],"of":[3,24,34,51,64,93,125,149,190,195],"advanced":[4],"metering":[5],"infrastructure,":[6],"massive":[7],"smart":[8,16],"meter":[9],"readings":[10],"are":[11,41],"generated":[12],"and":[13],"stored":[14],"in":[15,29,78,173],"grids,":[17],"which":[18,161],"makes":[19],"it":[20],"possible":[21],"for":[22,131,165],"detecting":[23],"tremendous":[25],"social":[26],"value":[27],"embedded":[28],"load":[30,37,52,74,97,127,140,150,158,193],"data.":[31,98],"The":[32],"majority":[33],"existing":[36],"data":[38,67],"mining":[39,68],"works":[40],"performed":[42],"on":[43,71,146,179],"daily":[45],"time":[46],"scale":[47],"without":[48,169],"adequate":[49],"consideration":[50],"information":[53],"between":[54],"days.":[56],"To":[57],"better":[58],"describe":[59],"power":[61],"consumption":[62],"characteristics":[63,148,194],"users,":[65],"a":[66,100,117,180],"approach":[69],"based":[70,145],"weekly":[73,96,139,192],"curves":[75],"is":[76,87,106,129,152,188],"proposed":[77,107,186],"this":[79],"paper.":[80],"First,":[81],"piecewise":[83],"aggregate":[84],"approximation":[85],"technique":[86],"utilized":[88],"to":[89,108,134,154],"reduce":[90],"dimensions":[92],"raw":[95],"Then,":[99],"Davies-Bouldin":[101],"index-based":[102],"adaptive":[103],"k-means":[104],"algorithm":[105],"cluster":[109,133],"studied":[111],"users":[112],"into":[113],"several":[114],"groups.":[115],"Finally,":[116],"hidden":[118],"Markov":[119],"model":[120],"describing":[121],"probabilistic":[123],"transitions":[124],"different":[126],"levels":[128],"established":[130],"each":[132],"extract":[135],"representative":[137],"dynamic":[138,147],"features.":[141],"A":[142],"feasible":[143],"tool":[144],"patterns":[151],"invented":[153],"evaluate":[155],"short-term":[157],"forecasting":[159,167,175],"methods,":[160],"realizes":[162],"pre-check":[164],"results":[168],"future":[170],"real":[171,181],"measurements":[172],"horizon.":[176],"Case":[177],"studies":[178],"dataset":[182],"demonstrate":[183],"that":[184],"method":[187],"capable":[189],"extracting":[191],"users.":[196]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":11},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
