{"id":"https://openalex.org/W2550026993","doi":"https://doi.org/10.1109/fuzz-ieee.2016.7737832","title":"A fast load pattern extraction approach based on dimension reduction and sampling","display_name":"A fast load pattern extraction approach based on dimension reduction and sampling","publication_year":2016,"publication_date":"2016-07-01","ids":{"openalex":"https://openalex.org/W2550026993","doi":"https://doi.org/10.1109/fuzz-ieee.2016.7737832","mag":"2550026993"},"language":"en","primary_location":{"id":"doi:10.1109/fuzz-ieee.2016.7737832","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzz-ieee.2016.7737832","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)","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/A5088718657","display_name":"Tiefeng Zhang","orcid":"https://orcid.org/0009-0006-0765-4180"},"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":"Tiefeng Zhang","raw_affiliation_strings":["School of Electric and Electronic Engineering, North China Electric Power University, Baoding, China"],"affiliations":[{"raw_affiliation_string":"School of Electric and Electronic Engineering, North China Electric Power University, Baoding, China","institution_ids":["https://openalex.org/I153473198"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101098311","display_name":"Mingdi Gu","orcid":null},"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":"Mingdi Gu","raw_affiliation_strings":["School of Electric and Electronic Engineering, North China Electric Power University, Baoding, China"],"affiliations":[{"raw_affiliation_string":"School of Electric and Electronic Engineering, North China Electric Power University, Baoding, China","institution_ids":["https://openalex.org/I153473198"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062192039","display_name":"Guangquan Zhang","orcid":"https://orcid.org/0000-0003-3960-0583"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Guangquan Zhang","raw_affiliation_strings":["Faculty of Engineering and Information Technology, University of Technology Sydney, Sydney, Australia"],"affiliations":[{"raw_affiliation_string":"Faculty of Engineering and Information Technology, University of Technology Sydney, Sydney, Australia","institution_ids":["https://openalex.org/I114017466"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100675577","display_name":"Jie L\u00fc","orcid":"https://orcid.org/0000-0003-0690-4732"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Jie Lu","raw_affiliation_strings":["Faculty of Engineering and Information Technology, University of Technology Sydney, Sydney, Australia"],"affiliations":[{"raw_affiliation_string":"Faculty of Engineering and Information Technology, University of Technology Sydney, Sydney, Australia","institution_ids":["https://openalex.org/I114017466"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5088718657"],"corresponding_institution_ids":["https://openalex.org/I153473198"],"apc_list":null,"apc_paid":null,"fwci":0.2546,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.55529549,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"23","issue":null,"first_page":"1253","last_page":"1258"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9887999892234802,"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"}},"topics":[{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9887999892234802,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.984499990940094,"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/T12761","display_name":"Data Stream Mining Techniques","score":0.9722999930381775,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.799142599105835},{"id":"https://openalex.org/keywords/dimension","display_name":"Dimension (graph theory)","score":0.684823751449585},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.6376497745513916},{"id":"https://openalex.org/keywords/reduction","display_name":"Reduction (mathematics)","score":0.6283254623413086},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.6178797483444214},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6153494715690613},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5601798295974731},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.556954562664032},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.5232321619987488},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.48313018679618835},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.39140141010284424},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3310844898223877},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.31310197710990906},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.23674553632736206}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.799142599105835},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.684823751449585},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.6376497745513916},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.6283254623413086},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.6178797483444214},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6153494715690613},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5601798295974731},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.556954562664032},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.5232321619987488},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.48313018679618835},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.39140141010284424},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3310844898223877},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.31310197710990906},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.23674553632736206},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"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/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/fuzz-ieee.2016.7737832","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzz-ieee.2016.7737832","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)","raw_type":"proceedings-article"},{"id":"pmh:oai:opus.lib.uts.edu.au:10453/121830","is_oa":false,"landing_page_url":"http://hdl.handle.net/10453/121830","pdf_url":null,"source":{"id":"https://openalex.org/S4306401357","display_name":"UTS ePRESS (University of Technology Sydney)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I114017466","host_organization_name":"University of Technology Sydney","host_organization_lineage":["https://openalex.org/I114017466"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference Proceeding"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1411044311","https://openalex.org/W2078278729","https://openalex.org/W2123297508","https://openalex.org/W2281766734","https://openalex.org/W2326419255","https://openalex.org/W2350118273","https://openalex.org/W2350472122","https://openalex.org/W2353176516","https://openalex.org/W2358024734","https://openalex.org/W2369635327","https://openalex.org/W2378926541","https://openalex.org/W2387902249","https://openalex.org/W2389893599","https://openalex.org/W7038920755","https://openalex.org/W7039350738"],"related_works":["https://openalex.org/W3176621072","https://openalex.org/W4298130764","https://openalex.org/W2804364458","https://openalex.org/W2132641928","https://openalex.org/W4310225030","https://openalex.org/W2995475466","https://openalex.org/W2090259340","https://openalex.org/W1926736923","https://openalex.org/W2158836806","https://openalex.org/W2356785732"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"a":[3,17,98],"fast":[4],"load":[5,26,45,69],"pattern":[6],"extraction":[7],"approach":[8,113],"to":[9,42,67,80,119],"solve":[10],"the":[11,44,50,54,72,82,87,92,106,112,121],"time":[12],"consuming":[13],"problem":[14],"in":[15],"using":[16,58],"traditional":[18],"k-means":[19],"clustering":[20,63,107],"method":[21],"for":[22],"large":[23],"volumes":[24],"of":[25,53,91,97,111],"curves.":[27],"The":[28,109],"approach,":[29],"based":[30],"on":[31],"dimension":[32,90],"reduction":[33],"and":[34,37,89,102,125],"sampling,":[35],"segments":[36],"averages":[38],"sampling":[39],"characteristic":[40],"points":[41],"reduce":[43],"curve's":[46],"dimensions,":[47],"then":[48],"reduces":[49],"overall":[51],"size":[52,88],"sample":[55],"data":[56,74,84,93],"set":[57,94],"representative":[59,73],"random":[60],"sampling.":[61],"K-means":[62],"algorithm":[64],"is":[65,114],"used":[66,79],"extract":[68],"patterns":[70],"from":[71],"set,":[75],"which":[76],"will":[77],"be":[78],"classify":[81],"full":[83],"set.":[85],"Reducing":[86],"allows":[95],"use":[96],"less":[99],"complex":[100],"algorithm,":[101],"thus":[103],"greatly":[104],"improves":[105],"speed.":[108],"validity":[110],"proven":[115],"by":[116],"experiments":[117],"designed":[118],"evaluate":[120],"trade-off":[122],"between":[123],"complexity":[124],"consistency.":[126]},"counts_by_year":[{"year":2017,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
