{"id":"https://openalex.org/W2179766089","doi":"https://doi.org/10.1109/hpcc-css-icess.2015.16","title":"Improving Power Grid Monitoring Data Quality: An Efficient Machine Learning Framework for Missing Data Prediction","display_name":"Improving Power Grid Monitoring Data Quality: An Efficient Machine Learning Framework for Missing Data Prediction","publication_year":2015,"publication_date":"2015-08-01","ids":{"openalex":"https://openalex.org/W2179766089","doi":"https://doi.org/10.1109/hpcc-css-icess.2015.16","mag":"2179766089"},"language":"en","primary_location":{"id":"doi:10.1109/hpcc-css-icess.2015.16","is_oa":false,"landing_page_url":"https://doi.org/10.1109/hpcc-css-icess.2015.16","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE 17th International Conference on High Performance Computing and Communications, 2015 IEEE 7th International Symposium on Cyberspace Safety and Security, and 2015 IEEE 12th International Conference on Embedded Software and Systems","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/A5101860039","display_name":"Weiwei Shi","orcid":"https://orcid.org/0000-0001-8066-1519"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Weiwei Shi","raw_affiliation_strings":["School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086260915","display_name":"Yongxin Zhu","orcid":"https://orcid.org/0000-0002-1813-1792"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongxin Zhu","raw_affiliation_strings":["School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067688599","display_name":"Jinkui Zhang","orcid":"https://orcid.org/0009-0003-5789-7760"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinkui Zhang","raw_affiliation_strings":["School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Xiang Tao","orcid":null},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiang Tao","raw_affiliation_strings":["School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111959438","display_name":"Gehao Sheng","orcid":"https://orcid.org/0000-0002-9454-5284"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Gehao Sheng","raw_affiliation_strings":["School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061924587","display_name":"Yong Lian","orcid":"https://orcid.org/0000-0002-5289-5219"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yong Lian","raw_affiliation_strings":["School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087716003","display_name":"Guoxing Wang","orcid":"https://orcid.org/0000-0002-0235-1475"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guoxing Wang","raw_affiliation_strings":["School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100394292","display_name":"Yufeng Chen","orcid":"https://orcid.org/0000-0002-1183-9413"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yufeng Chen","raw_affiliation_strings":["Electric Power Research Institute of Shandong Power Supply Company of State Grid, Shandong Province, China"],"affiliations":[{"raw_affiliation_string":"Electric Power Research Institute of Shandong Power Supply Company of State Grid, Shandong Province, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5101860039"],"corresponding_institution_ids":["https://openalex.org/I183067930"],"apc_list":null,"apc_paid":null,"fwci":8.7163,"has_fulltext":false,"cited_by_count":30,"citation_normalized_percentile":{"value":0.97310889,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"417","last_page":"422"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14280","display_name":"Big Data Technologies and Applications","score":0.9973999857902527,"subfield":{"id":"https://openalex.org/subfields/1802","display_name":"Information Systems and Management"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T14280","display_name":"Big Data Technologies and Applications","score":0.9973999857902527,"subfield":{"id":"https://openalex.org/subfields/1802","display_name":"Information Systems and Management"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9858999848365784,"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9836000204086304,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/missing-data","display_name":"Missing data","score":0.7610771656036377},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7154709696769714},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.7060004472732544},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.650875449180603},{"id":"https://openalex.org/keywords/data-pre-processing","display_name":"Data pre-processing","score":0.5747120380401611},{"id":"https://openalex.org/keywords/raw-data","display_name":"Raw data","score":0.5544445514678955},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.5190487504005432},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.49247226119041443},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.4558578133583069},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4328880310058594},{"id":"https://openalex.org/keywords/grid","display_name":"Grid","score":0.42394402623176575},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.41689494252204895},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.41530752182006836},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3986988365650177},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.10834527015686035}],"concepts":[{"id":"https://openalex.org/C9357733","wikidata":"https://www.wikidata.org/wiki/Q6878417","display_name":"Missing data","level":2,"score":0.7610771656036377},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7154709696769714},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.7060004472732544},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.650875449180603},{"id":"https://openalex.org/C10551718","wikidata":"https://www.wikidata.org/wiki/Q5227332","display_name":"Data pre-processing","level":2,"score":0.5747120380401611},{"id":"https://openalex.org/C132964779","wikidata":"https://www.wikidata.org/wiki/Q2110223","display_name":"Raw data","level":2,"score":0.5544445514678955},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.5190487504005432},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.49247226119041443},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.4558578133583069},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4328880310058594},{"id":"https://openalex.org/C187691185","wikidata":"https://www.wikidata.org/wiki/Q2020720","display_name":"Grid","level":2,"score":0.42394402623176575},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.41689494252204895},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.41530752182006836},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3986988365650177},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.10834527015686035},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"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/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/hpcc-css-icess.2015.16","is_oa":false,"landing_page_url":"https://doi.org/10.1109/hpcc-css-icess.2015.16","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE 17th International Conference on High Performance Computing and Communications, 2015 IEEE 7th International Symposium on Cyberspace Safety and Security, and 2015 IEEE 12th International Conference on Embedded Software and Systems","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","score":0.7599999904632568,"id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W1569211635","https://openalex.org/W1608018609","https://openalex.org/W1981558717","https://openalex.org/W1983710014","https://openalex.org/W1993220086","https://openalex.org/W1993982842","https://openalex.org/W2003423645","https://openalex.org/W2004291985","https://openalex.org/W2026561823","https://openalex.org/W2032594557","https://openalex.org/W2049101609","https://openalex.org/W2054819912","https://openalex.org/W2073234545","https://openalex.org/W2096762662","https://openalex.org/W2107116457","https://openalex.org/W2119821739","https://openalex.org/W2128287406","https://openalex.org/W2148603752","https://openalex.org/W2164303714","https://openalex.org/W2167085679","https://openalex.org/W2373744349","https://openalex.org/W2539369127","https://openalex.org/W2540311239","https://openalex.org/W4230674625","https://openalex.org/W4239510810","https://openalex.org/W6636268808"],"related_works":["https://openalex.org/W2989490741","https://openalex.org/W138569904","https://openalex.org/W2367545121","https://openalex.org/W4248881655","https://openalex.org/W2482165163","https://openalex.org/W3092506759","https://openalex.org/W2390914021","https://openalex.org/W3010890513","https://openalex.org/W3138271675","https://openalex.org/W4220726286"],"abstract_inverted_index":{"Big":[0],"data":[1,20,29,33,40,45,69,97,122,128,131,159,173,200,242],"techniques":[2],"has":[3],"been":[4,58],"applied":[5],"to":[6,41,60,72,88,143,238],"power":[7,77,203,206,244],"grid":[8,15,78,207,245],"for":[9,93],"the":[10,18,25,43,62,74,90,115,118,126,150,166,171,183,187,195,214,218,230,240],"evaluation":[11],"and":[12,108,186],"prediction":[13,91,147,168,174,201],"of":[14,27,64,76,114,202],"conditions.":[16,79],"However,":[17],"raw":[19,32],"quality":[21],"rarely":[22],"can":[23,57],"meet":[24],"requirement":[26],"precise":[28],"analytics":[30],"since":[31],"set":[34],"usually":[35],"contains":[36],"samples":[37],"with":[38,95,156],"missing":[39,65,96,172,199,241],"which":[42,99,161],"common":[44],"mining":[46],"models":[47],"are":[48,154],"sensitive.":[49],"Though":[50],"classic":[51],"interpolation":[52],"or":[53],"neural":[54],"network":[55],"methods":[56],"used":[59],"fill":[61],"gaps":[63],"data,":[66],"their":[67],"predicted":[68],"often":[70],"fail":[71],"fit":[73],"rules":[75],"This":[80],"paper":[81],"presents":[82],"a":[83,145,235],"machine":[84,106],"learning":[85],"framework":[86,197,220,231],"(OR_MLF)":[87],"improve":[89],"accuracy":[92],"datasets":[94],"points,":[98],"mainly":[100],"combines":[101],"preprocessing,":[102],"optimizing":[103],"support":[104],"vector":[105],"(OSVM)":[107],"refining":[109],"SVM":[110,139,152,185,189],"(RSVM).":[111],"On":[112],"top":[113],"OSVM":[116,178],"engine,":[117],"scheme":[119],"introduces":[120],"dedicated":[121],"training":[123,158],"strategies.":[124],"First,":[125],"original":[127],"originating":[129],"from":[130],"generation":[132],"facilities":[133],"is":[134,140,162,179,190],"preprocessed":[135],"through":[136],"standardization.":[137],"Traditional":[138],"then":[141],"trained":[142],"obtain":[144],"preliminary":[146,167],"model.":[148,169],"Next,":[149],"optimized":[151],"predictors":[153,215],"achieved":[155],"new":[157],"set,":[160],"extracted":[163],"based":[164,216],"on":[165,177,198,217],"Finally,":[170],"result":[175],"depending":[176],"selectively":[180],"inputted":[181],"into":[182],"traditional":[184,227],"refined":[188],"lastly":[191],"accomplished.":[192],"We":[193],"test":[194],"OR_MLF":[196,232],"transformers":[204],"in":[205,243],"system.":[208,246],"The":[209],"experimental":[210],"results":[211],"show":[212],"that":[213],"proposed":[219],"achieve":[221],"lower":[222],"mean":[223],"square":[224],"error":[225],"than":[226],"ones.":[228],"Therefore,":[229],"would":[233],"be":[234],"good":[236],"candidate":[237],"predict":[239]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":4}],"updated_date":"2026-04-16T08:26:57.006410","created_date":"2025-10-10T00:00:00"}