{"id":"https://openalex.org/W2560457470","doi":"https://doi.org/10.1109/globalsip.2016.7905953","title":"Multivariate empirical mode decomposition based signal analysis and efficient-storage in smart grid","display_name":"Multivariate empirical mode decomposition based signal analysis and efficient-storage in smart grid","publication_year":2016,"publication_date":"2016-12-01","ids":{"openalex":"https://openalex.org/W2560457470","doi":"https://doi.org/10.1109/globalsip.2016.7905953","mag":"2560457470"},"language":"en","primary_location":{"id":"doi:10.1109/globalsip.2016.7905953","is_oa":false,"landing_page_url":"https://doi.org/10.1109/globalsip.2016.7905953","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE Global Conference on Signal and Information Processing (GlobalSIP)","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/A5100324290","display_name":"Liu Liu","orcid":"https://orcid.org/0000-0002-9065-8038"},"institutions":[{"id":"https://openalex.org/I75027704","display_name":"University of Tennessee at Knoxville","ror":"https://ror.org/020f3ap87","country_code":"US","type":"education","lineage":["https://openalex.org/I75027704"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Liu Liu","raw_affiliation_strings":["Dept. of Electrical Engineering & Computer Science, University of Tennessee, Knoxville, TN, USA"],"affiliations":[{"raw_affiliation_string":"Dept. of Electrical Engineering & Computer Science, University of Tennessee, Knoxville, TN, USA","institution_ids":["https://openalex.org/I75027704"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044938240","display_name":"Austin Albright","orcid":"https://orcid.org/0000-0002-2129-4074"},"institutions":[{"id":"https://openalex.org/I75027704","display_name":"University of Tennessee at Knoxville","ror":"https://ror.org/020f3ap87","country_code":"US","type":"education","lineage":["https://openalex.org/I75027704"]},{"id":"https://openalex.org/I1289243028","display_name":"Oak Ridge National Laboratory","ror":"https://ror.org/01qz5mb56","country_code":"US","type":"facility","lineage":["https://openalex.org/I1289243028","https://openalex.org/I1330989302","https://openalex.org/I39565521","https://openalex.org/I4210159294"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Austin Albright","raw_affiliation_strings":["Dept. of Electrical Engineering & Computer Science, University of Tennessee, Knoxville, TN, USA","Electrical & Electronics Systems Research Div., Oak Ridge National Laboratory, Oak Ridge, TN, USA"],"affiliations":[{"raw_affiliation_string":"Dept. of Electrical Engineering & Computer Science, University of Tennessee, Knoxville, TN, USA","institution_ids":["https://openalex.org/I75027704"]},{"raw_affiliation_string":"Electrical & Electronics Systems Research Div., Oak Ridge National Laboratory, Oak Ridge, TN, USA","institution_ids":["https://openalex.org/I1289243028"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024569249","display_name":"Alireza Rahimpour","orcid":"https://orcid.org/0000-0003-3716-1900"},"institutions":[{"id":"https://openalex.org/I75027704","display_name":"University of Tennessee at Knoxville","ror":"https://ror.org/020f3ap87","country_code":"US","type":"education","lineage":["https://openalex.org/I75027704"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Alireza Rahimpour","raw_affiliation_strings":["Dept. of Electrical Engineering & Computer Science, University of Tennessee, Knoxville, TN, USA"],"affiliations":[{"raw_affiliation_string":"Dept. of Electrical Engineering & Computer Science, University of Tennessee, Knoxville, TN, USA","institution_ids":["https://openalex.org/I75027704"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062047431","display_name":"Jiahui Guo","orcid":"https://orcid.org/0000-0003-0877-2091"},"institutions":[{"id":"https://openalex.org/I2802706902","display_name":"Knoxville College","ror":"https://ror.org/02bxrp522","country_code":"US","type":"education","lineage":["https://openalex.org/I2802706902"]},{"id":"https://openalex.org/I75027704","display_name":"University of Tennessee at Knoxville","ror":"https://ror.org/020f3ap87","country_code":"US","type":"education","lineage":["https://openalex.org/I75027704"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jiahui Guo","raw_affiliation_strings":["University of Tennessee Knoxville, Knoxville, TN, US"],"affiliations":[{"raw_affiliation_string":"University of Tennessee Knoxville, Knoxville, TN, US","institution_ids":["https://openalex.org/I2802706902","https://openalex.org/I75027704"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072730926","display_name":"Hairong Qi","orcid":"https://orcid.org/0000-0002-2693-5520"},"institutions":[{"id":"https://openalex.org/I75027704","display_name":"University of Tennessee at Knoxville","ror":"https://ror.org/020f3ap87","country_code":"US","type":"education","lineage":["https://openalex.org/I75027704"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hairong Qi","raw_affiliation_strings":["Dept. of Electrical Engineering & Computer Science, University of Tennessee, Knoxville, TN, USA"],"affiliations":[{"raw_affiliation_string":"Dept. of Electrical Engineering & Computer Science, University of Tennessee, Knoxville, TN, USA","institution_ids":["https://openalex.org/I75027704"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101920116","display_name":"Yilu Liu","orcid":"https://orcid.org/0000-0002-6707-9062"},"institutions":[{"id":"https://openalex.org/I75027704","display_name":"University of Tennessee at Knoxville","ror":"https://ror.org/020f3ap87","country_code":"US","type":"education","lineage":["https://openalex.org/I75027704"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yilu Liu","raw_affiliation_strings":["Dept. of Electrical Engineering & Computer Science, University of Tennessee, Knoxville, TN, USA"],"affiliations":[{"raw_affiliation_string":"Dept. of Electrical Engineering & Computer Science, University of Tennessee, Knoxville, TN, USA","institution_ids":["https://openalex.org/I75027704"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5100324290"],"corresponding_institution_ids":["https://openalex.org/I75027704"],"apc_list":null,"apc_paid":null,"fwci":0.2678,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.61953182,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"pp","issue":null,"first_page":"801","last_page":"805"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.9905999898910522,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.9905999898910522,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/T10305","display_name":"Power System Optimization and Stability","score":0.9887999892234802,"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/T11052","display_name":"Energy Load and Power Forecasting","score":0.9843999743461609,"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/hilbert\u2013huang-transform","display_name":"Hilbert\u2013Huang transform","score":0.7231088280677795},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6986903548240662},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.612549364566803},{"id":"https://openalex.org/keywords/superposition-principle","display_name":"Superposition principle","score":0.5682499408721924},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5339490175247192},{"id":"https://openalex.org/keywords/multivariate-statistics","display_name":"Multivariate statistics","score":0.48648425936698914},{"id":"https://openalex.org/keywords/smart-grid","display_name":"Smart grid","score":0.47342613339424133},{"id":"https://openalex.org/keywords/grid","display_name":"Grid","score":0.46276870369911194},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4358539283275604},{"id":"https://openalex.org/keywords/computer-data-storage","display_name":"Computer data storage","score":0.4168979525566101},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3346610367298126},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.20464754104614258},{"id":"https://openalex.org/keywords/white-noise","display_name":"White noise","score":0.15773144364356995},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1512155830860138},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.11016318202018738},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.10093477368354797},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.09285929799079895}],"concepts":[{"id":"https://openalex.org/C25570617","wikidata":"https://www.wikidata.org/wiki/Q1006462","display_name":"Hilbert\u2013Huang transform","level":3,"score":0.7231088280677795},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6986903548240662},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.612549364566803},{"id":"https://openalex.org/C27753989","wikidata":"https://www.wikidata.org/wiki/Q284885","display_name":"Superposition principle","level":2,"score":0.5682499408721924},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5339490175247192},{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.48648425936698914},{"id":"https://openalex.org/C10558101","wikidata":"https://www.wikidata.org/wiki/Q689855","display_name":"Smart grid","level":2,"score":0.47342613339424133},{"id":"https://openalex.org/C187691185","wikidata":"https://www.wikidata.org/wiki/Q2020720","display_name":"Grid","level":2,"score":0.46276870369911194},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4358539283275604},{"id":"https://openalex.org/C194739806","wikidata":"https://www.wikidata.org/wiki/Q66221","display_name":"Computer data storage","level":2,"score":0.4168979525566101},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3346610367298126},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.20464754104614258},{"id":"https://openalex.org/C112633086","wikidata":"https://www.wikidata.org/wiki/Q381287","display_name":"White noise","level":2,"score":0.15773144364356995},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1512155830860138},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.11016318202018738},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.10093477368354797},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.09285929799079895},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","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/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/globalsip.2016.7905953","is_oa":false,"landing_page_url":"https://doi.org/10.1109/globalsip.2016.7905953","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE Global Conference on Signal and Information Processing (GlobalSIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1531552962","https://openalex.org/W1802314291","https://openalex.org/W2007221293","https://openalex.org/W2067191022","https://openalex.org/W2074989321","https://openalex.org/W2123563890","https://openalex.org/W2136551059","https://openalex.org/W2138402108","https://openalex.org/W2151109389","https://openalex.org/W2156125143","https://openalex.org/W2272600465","https://openalex.org/W2312066854","https://openalex.org/W3141408015"],"related_works":["https://openalex.org/W2081563414","https://openalex.org/W2363056446","https://openalex.org/W2359718298","https://openalex.org/W2377062149","https://openalex.org/W3014107421","https://openalex.org/W2076661204","https://openalex.org/W2380939102","https://openalex.org/W1991001811","https://openalex.org/W2011248322","https://openalex.org/W2127575060"],"abstract_inverted_index":{"Wide-area-measurement":[0],"systems":[1,8],"(WAMSs)":[2],"are":[3,78,101,125,133],"used":[4],"in":[5],"smart":[6],"grid":[7,15],"to":[9,65,94],"enable":[10],"the":[11,18,24,31,95,108,150,155,165],"efficient":[12,34],"monitoring":[13],"of":[14,21,39,55,84,121],"dynamics.":[16],"However,":[17],"overwhelming":[19],"amount":[20],"data":[22,35,166],"and":[23,33,37,88,98,103,118,131,144,160],"severe":[25],"contamination":[26],"from":[27],"noise":[28,117],"often":[29],"impede":[30],"effective":[32],"analysis":[36,130],"storage":[38,167],"WAMS":[40],"generated":[41],"measurements.":[42],"To":[43],"solve":[44],"this":[45],"problem,":[46],"we":[47,147],"propose":[48],"a":[49,61,81],"novel":[50],"framework":[51,152],"that":[52,149],"takes":[53],"advantage":[54],"Multivariate":[56],"Empirical":[57],"Mode":[58],"Decomposition":[59],"(MEMD),":[60],"fully":[62],"data-driven":[63],"approach":[64],"analyzing":[66],"non-stationary":[67],"signals,":[68],"dubbed":[69],"MEMD":[70],"based":[71],"Signal":[72],"Analysis":[73],"(MSA).":[74],"The":[75,90],"frequency":[76],"measurements":[77],"considered":[79],"as":[80,158],"linear":[82],"superposition":[83],"different":[85],"oscillatory":[86],"components":[87],"noise.":[89],"low-frequency":[91],"components,":[92,115],"corresponding":[93],"long-term":[96],"trend":[97],"inter-area":[99,123,161],"oscillations,":[100,124],"grouped":[102],"compressed":[104],"by":[105,135],"MSA":[106],"using":[107,127],"mean":[109],"shift":[110],"clustering":[111],"algorithm.":[112],"Whereas,":[113],"higher-frequency":[114],"mostly":[116],"potentially":[119],"part":[120],"high-frequency":[122],"analyzed":[126],"Hilbert":[128],"spectral":[129],"they":[132],"delineated":[134],"statistical":[136],"behavior.":[137],"By":[138],"conducting":[139],"experiments":[140],"on":[141],"both":[142],"synthetic":[143],"real-world":[145],"data,":[146],"show":[148],"proposed":[151],"can":[153],"capture":[154],"characteristics,":[156],"such":[157],"trends":[159],"oscillation,":[162],"while":[163],"reducing":[164],"requirements.":[168]},"counts_by_year":[{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
