{"id":"https://openalex.org/W3162769499","doi":"https://doi.org/10.1109/tim.2021.3075538","title":"Grid-Constrained Data Cleansing Method for Enhanced Bus Load Forecasting","display_name":"Grid-Constrained Data Cleansing Method for Enhanced Bus Load Forecasting","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W3162769499","doi":"https://doi.org/10.1109/tim.2021.3075538","mag":"3162769499"},"language":"en","primary_location":{"id":"doi:10.1109/tim.2021.3075538","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2021.3075538","pdf_url":null,"source":{"id":"https://openalex.org/S10892749","display_name":"IEEE Transactions on Instrumentation and Measurement","issn_l":"0018-9456","issn":["0018-9456","1557-9662"],"is_oa":false,"is_in_doaj":false,"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 Transactions on Instrumentation and Measurement","raw_type":"journal-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/A5100696691","display_name":"Zhenghui Li","orcid":"https://orcid.org/0000-0002-2380-2319"},"institutions":[{"id":"https://openalex.org/I153473198","display_name":"North China Electric Power University","ror":"https://ror.org/04qr5t414","country_code":"CN","type":"education","lineage":["https://openalex.org/I153473198"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhenghui Li","raw_affiliation_strings":["North China Electric Power University, Baoding, China"],"affiliations":[{"raw_affiliation_string":"North China Electric Power University, Baoding, China","institution_ids":["https://openalex.org/I153473198"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100440961","display_name":"Jiaming Liu","orcid":"https://orcid.org/0000-0001-5697-1656"},"institutions":[{"id":"https://openalex.org/I153473198","display_name":"North China Electric Power University","ror":"https://ror.org/04qr5t414","country_code":"CN","type":"education","lineage":["https://openalex.org/I153473198"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiaming Liu","raw_affiliation_strings":["North China Electric Power University, Baoding, China"],"affiliations":[{"raw_affiliation_string":"North China Electric Power University, Baoding, China","institution_ids":["https://openalex.org/I153473198"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068257993","display_name":"Yuzhang Lin","orcid":"https://orcid.org/0000-0002-1366-4637"},"institutions":[{"id":"https://openalex.org/I133738476","display_name":"University of Massachusetts Lowell","ror":"https://ror.org/03hamhx47","country_code":"US","type":"education","lineage":["https://openalex.org/I133738476"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yuzhang Lin","raw_affiliation_strings":["University of Massachusetts at Lowell, Lowell, MA, USA"],"affiliations":[{"raw_affiliation_string":"University of Massachusetts at Lowell, Lowell, MA, USA","institution_ids":["https://openalex.org/I133738476"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100455868","display_name":"Fei Wang","orcid":"https://orcid.org/0000-0002-7332-9726"},"institutions":[{"id":"https://openalex.org/I153473198","display_name":"North China Electric Power University","ror":"https://ror.org/04qr5t414","country_code":"CN","type":"education","lineage":["https://openalex.org/I153473198"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fei Wang","raw_affiliation_strings":["Hebei Key Laboratory of Distributed Energy Storage and Microgrid (North China Electric Power University), Baoding, China","North China Electric Power University, Baoding, China","State Key Laboratory of Alternate Electrical Power System With Renewable Energy Sources (North China Electric Power University), Beijing, China"],"affiliations":[{"raw_affiliation_string":"Hebei Key Laboratory of Distributed Energy Storage and Microgrid (North China Electric Power University), Baoding, China","institution_ids":["https://openalex.org/I153473198"]},{"raw_affiliation_string":"North China Electric Power University, Baoding, China","institution_ids":["https://openalex.org/I153473198"]},{"raw_affiliation_string":"State Key Laboratory of Alternate Electrical Power System With Renewable Energy Sources (North China Electric Power University), Beijing, China","institution_ids":["https://openalex.org/I153473198"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100696691"],"corresponding_institution_ids":["https://openalex.org/I153473198"],"apc_list":null,"apc_paid":null,"fwci":2.1756,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":{"value":0.89564147,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"70","issue":null,"first_page":"1","last_page":"10"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13650","display_name":"Computational Physics and Python Applications","score":0.9952999949455261,"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"}},"topics":[{"id":"https://openalex.org/T13650","display_name":"Computational Physics and Python Applications","score":0.9952999949455261,"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"}},{"id":"https://openalex.org/T11052","display_name":"Energy Load and Power Forecasting","score":0.9951000213623047,"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/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9919999837875366,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7125822901725769},{"id":"https://openalex.org/keywords/data-cleansing","display_name":"Data cleansing","score":0.6842376589775085},{"id":"https://openalex.org/keywords/grid","display_name":"Grid","score":0.6137184500694275},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.5232497453689575},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5151970982551575},{"id":"https://openalex.org/keywords/dimension","display_name":"Dimension (graph theory)","score":0.4930207431316376},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4609779119491577},{"id":"https://openalex.org/keywords/power-grid","display_name":"Power grid","score":0.4587656855583191},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.4557201564311981},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.41219207644462585},{"id":"https://openalex.org/keywords/reliability-engineering","display_name":"Reliability engineering","score":0.3926226794719696},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1830275058746338},{"id":"https://openalex.org/keywords/data-quality","display_name":"Data quality","score":0.13706335425376892},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.13225483894348145},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.09091180562973022},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09033635258674622}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7125822901725769},{"id":"https://openalex.org/C42199009","wikidata":"https://www.wikidata.org/wiki/Q1172378","display_name":"Data cleansing","level":4,"score":0.6842376589775085},{"id":"https://openalex.org/C187691185","wikidata":"https://www.wikidata.org/wiki/Q2020720","display_name":"Grid","level":2,"score":0.6137184500694275},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.5232497453689575},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5151970982551575},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.4930207431316376},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4609779119491577},{"id":"https://openalex.org/C2983254600","wikidata":"https://www.wikidata.org/wiki/Q1096907","display_name":"Power grid","level":3,"score":0.4587656855583191},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.4557201564311981},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.41219207644462585},{"id":"https://openalex.org/C200601418","wikidata":"https://www.wikidata.org/wiki/Q2193887","display_name":"Reliability engineering","level":1,"score":0.3926226794719696},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1830275058746338},{"id":"https://openalex.org/C24756922","wikidata":"https://www.wikidata.org/wiki/Q1757694","display_name":"Data quality","level":3,"score":0.13706335425376892},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.13225483894348145},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.09091180562973022},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09033635258674622},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tim.2021.3075538","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2021.3075538","pdf_url":null,"source":{"id":"https://openalex.org/S10892749","display_name":"IEEE Transactions on Instrumentation and Measurement","issn_l":"0018-9456","issn":["0018-9456","1557-9662"],"is_oa":false,"is_in_doaj":false,"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 Transactions on Instrumentation and Measurement","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.8199999928474426}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W1598852905","https://openalex.org/W1789216555","https://openalex.org/W1964364237","https://openalex.org/W1988608305","https://openalex.org/W1993863450","https://openalex.org/W2000463465","https://openalex.org/W2044758663","https://openalex.org/W2056114557","https://openalex.org/W2071258353","https://openalex.org/W2090041969","https://openalex.org/W2098142388","https://openalex.org/W2100090926","https://openalex.org/W2116988348","https://openalex.org/W2124369546","https://openalex.org/W2139901214","https://openalex.org/W2142085250","https://openalex.org/W2145269382","https://openalex.org/W2149891480","https://openalex.org/W2150378473","https://openalex.org/W2158371613","https://openalex.org/W2170507925","https://openalex.org/W2215764123","https://openalex.org/W2509857660","https://openalex.org/W2763926615","https://openalex.org/W2800792726","https://openalex.org/W2907922133","https://openalex.org/W2915043045","https://openalex.org/W2952791818","https://openalex.org/W3000558406","https://openalex.org/W3007976404","https://openalex.org/W3024158773","https://openalex.org/W3106194946","https://openalex.org/W3123561275","https://openalex.org/W3197494818"],"related_works":["https://openalex.org/W17155033","https://openalex.org/W3207760230","https://openalex.org/W1496222301","https://openalex.org/W1590307681","https://openalex.org/W2536018345","https://openalex.org/W4312814274","https://openalex.org/W4285370786","https://openalex.org/W2296488620","https://openalex.org/W2358353312","https://openalex.org/W2353836703"],"abstract_inverted_index":{"A":[0],"number":[1],"of":[2,15,30,36,55,72,77,83,96,139],"measurement":[3,33,140],"data":[4,39,88,141],"cleansing":[5,76,89],"methods":[6,24],"have":[7],"been":[8],"proposed":[9,92,130],"aiming":[10],"at":[11],"improving":[12],"the":[13,27,42,49,57,75,94,111,115,123,129],"accuracy":[14,135],"bus":[16,37,78],"load":[17,38,79,101],"forecasting":[18],"(BLF).":[19],"However,":[20],"almost":[21],"all":[22],"these":[23],"only":[25],"exploit":[26],"temporal":[28,112],"characteristics":[29],"a":[31,53,86],"single":[32],"time":[34],"series":[35],"and":[40,114,152],"neglect":[41],"information":[43,73],"that":[44,128],"can":[45,66],"be":[46],"extracted":[47],"from":[48,62],"power":[50,58,117],"grid.":[51],"As":[52],"matter":[54],"fact,":[56],"grid":[59,118],"model":[60],"derived":[61],"physical":[63,116],"circuit":[64],"laws":[65],"provide":[67],"an":[68],"entirely":[69],"different":[70],"dimension":[71],"facilitating":[74],"data.":[80],"In":[81],"view":[82],"this":[84],"gap,":[85],"comprehensive":[87],"framework":[90],"is":[91],"for":[93],"sake":[95],"enhancing":[97],"BLF":[98,134],"accuracy.":[99],"Bus":[100],"datasets":[102],"are":[103],"cleansed":[104],"based":[105],"on":[106,122],"their":[107],"consistencies":[108],"with":[109],"both":[110],"statistics":[113],"model.":[119],"Simulation":[120],"results":[121],"IEEE":[124],"30-bus":[125],"system":[126],"verify":[127],"method":[131],"remarkably":[132],"improves":[133],"under":[136],"various":[137],"types":[138],"corruption":[142],"conditions,":[143],"including":[144],"random":[145],"noise,":[146],"temporary":[147],"gross":[148],"errors,":[149],"permanent":[150],"biases,":[151],"cyberattacks.":[153]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}