{"id":"https://openalex.org/W2071114192","doi":"https://doi.org/10.1109/iscas.2013.6572095","title":"Extracting underlying trend and predicting power usage via joint SSA and sparse binary programming","display_name":"Extracting underlying trend and predicting power usage via joint SSA and sparse binary programming","publication_year":2013,"publication_date":"2013-05-01","ids":{"openalex":"https://openalex.org/W2071114192","doi":"https://doi.org/10.1109/iscas.2013.6572095","mag":"2071114192"},"language":"en","primary_location":{"id":"doi:10.1109/iscas.2013.6572095","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscas.2013.6572095","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Symposium on Circuits and Systems (ISCAS2013)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5064465418","display_name":"Zhijing Yang","orcid":"https://orcid.org/0000-0001-8336-5109"},"institutions":[{"id":"https://openalex.org/I139024713","display_name":"Guangdong University of Technology","ror":"https://ror.org/04azbjn80","country_code":"CN","type":"education","lineage":["https://openalex.org/I139024713"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhijing Yang","raw_affiliation_strings":["Faculty of Computer, Guangdong, University of Technology, Guangzhou, China","[Fac. of Comput., Guangdong Univ. of Technol., Guangzhou, China]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Computer, Guangdong, University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I139024713"]},{"raw_affiliation_string":"[Fac. of Comput., Guangdong Univ. of Technol., Guangzhou, China]","institution_ids":["https://openalex.org/I139024713"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022036826","display_name":"Bingo Wing\u2010Kuen Ling","orcid":"https://orcid.org/0000-0002-0633-7224"},"institutions":[{"id":"https://openalex.org/I139024713","display_name":"Guangdong University of Technology","ror":"https://ror.org/04azbjn80","country_code":"CN","type":"education","lineage":["https://openalex.org/I139024713"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bingo Wing-Kuen Ling","raw_affiliation_strings":["Faculty of Information Engineering, Guangdong University of Technology, Guangzhou, China","Fac. of Inf. Eng., Guangdong Univ. of Technol., Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Information Engineering, Guangdong University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I139024713"]},{"raw_affiliation_string":"Fac. of Inf. Eng., Guangdong Univ. of Technol., Guangzhou, China","institution_ids":["https://openalex.org/I139024713"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045647966","display_name":"Chris Bingham","orcid":"https://orcid.org/0000-0001-6684-7894"},"institutions":[{"id":"https://openalex.org/I51532219","display_name":"University of Lincoln","ror":"https://ror.org/03yeq9x20","country_code":"GB","type":"education","lineage":["https://openalex.org/I51532219"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Chris Bingham","raw_affiliation_strings":["School of Engineering, University of Lincoln, Lincoln, Lincolnshire, UK","School of Engineering University of Lincoln,Lincoln,UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Engineering, University of Lincoln, Lincoln, Lincolnshire, UK","institution_ids":["https://openalex.org/I51532219"]},{"raw_affiliation_string":"School of Engineering University of Lincoln,Lincoln,UK","institution_ids":["https://openalex.org/I51532219"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2348,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.44270153,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1312","last_page":"1315"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9980999827384949,"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9980999827384949,"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/T10534","display_name":"Structural Health Monitoring Techniques","score":0.9919999837875366,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural 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/T10573","display_name":"Power Quality and Harmonics","score":0.9847999811172485,"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/binary-number","display_name":"Binary number","score":0.6399325132369995},{"id":"https://openalex.org/keywords/linear-programming","display_name":"Linear programming","score":0.6246875524520874},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.5255095958709717},{"id":"https://openalex.org/keywords/simplex-algorithm","display_name":"Simplex algorithm","score":0.48820760846138},{"id":"https://openalex.org/keywords/norm","display_name":"Norm (philosophy)","score":0.4806705415248871},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.44654256105422974},{"id":"https://openalex.org/keywords/integer-programming","display_name":"Integer programming","score":0.4337792992591858},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.43356478214263916},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.37865543365478516}],"concepts":[{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.6399325132369995},{"id":"https://openalex.org/C41045048","wikidata":"https://www.wikidata.org/wiki/Q202843","display_name":"Linear programming","level":2,"score":0.6246875524520874},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5255095958709717},{"id":"https://openalex.org/C144521790","wikidata":"https://www.wikidata.org/wiki/Q134164","display_name":"Simplex algorithm","level":3,"score":0.48820760846138},{"id":"https://openalex.org/C191795146","wikidata":"https://www.wikidata.org/wiki/Q3878446","display_name":"Norm (philosophy)","level":2,"score":0.4806705415248871},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.44654256105422974},{"id":"https://openalex.org/C56086750","wikidata":"https://www.wikidata.org/wiki/Q6042592","display_name":"Integer programming","level":2,"score":0.4337792992591858},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.43356478214263916},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.37865543365478516},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iscas.2013.6572095","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscas.2013.6572095","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Symposium on Circuits and Systems (ISCAS2013)","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":7,"referenced_works":["https://openalex.org/W2099322376","https://openalex.org/W2099641086","https://openalex.org/W2100485669","https://openalex.org/W2123579874","https://openalex.org/W2134474909","https://openalex.org/W2143783917","https://openalex.org/W4232129301"],"related_works":["https://openalex.org/W2133667137","https://openalex.org/W2380756614","https://openalex.org/W2371762379","https://openalex.org/W4295094535","https://openalex.org/W4283583523","https://openalex.org/W4291914418","https://openalex.org/W4214624958","https://openalex.org/W2977992986","https://openalex.org/W2941986668","https://openalex.org/W2773399470"],"abstract_inverted_index":{"This":[0,126,164],"paper":[1],"proposes":[2],"a":[3,17,37,58,130,170,231],"novel":[4],"methodology":[5],"for":[6,255],"extracting":[7,256],"the":[8,13,34,44,48,52,61,66,70,75,78,89,92,97,101,104,108,115,120,123,140,153,157,160,175,181,184,201,205,209,213,217,237,257,262],"underlying":[9,29,72,110,258],"trend":[10,30,111,259],"and":[11,23,69,107,180,253,260],"predicting":[12,261],"power":[14,263],"usage":[15],"through":[16],"joint":[18],"singular":[19],"spectrum":[20],"analysis":[21],"(SSA)":[22],"sparse":[24,131,144,219],"binary":[25,116,132,161,202,220],"programming":[26,133,172,186,211,221],"approach.":[27],"The":[28],"is":[31,54,81,86,128,147,178,223,240,250],"approximated":[32,71,109,168,214],"by":[33,169],"sum":[35,53],"of":[36,39,47,77,91,122,159,183,208,216],"part":[38],"SSA":[40,49,79],"components,":[41],"in":[42,51],"which":[43],"total":[45],"number":[46],"components":[50,80],"minimized":[55],"subject":[56,95],"to":[57,87,96,151,204],"specification":[59],"on":[60,100,119],"maximum":[62],"absolute":[63],"difference":[64,102],"between":[65,103],"original":[67,105,218],"signal":[68,106],"trend.":[73],"As":[74],"selection":[76,84,93,124],"binary,":[82],"this":[83,137],"problem":[85,127,146,155,165,173,187,222],"minimize":[88],"L0norm":[90],"vector":[94],"L\u221enorm":[98],"constraint":[99,118],"as":[112,114],"well":[113],"valued":[117,143,162],"elements":[121],"vector.":[125],"actually":[129],"problem.":[134],"To":[135],"solve":[136,152],"problem,":[138,212],"first":[139],"corresponding":[141],"continuous":[142],"optimization":[145],"solved.":[148],"That":[149],"is,":[150],"same":[154],"without":[156],"consideration":[158],"constraint.":[163],"can":[166,188],"be":[167,189],"linear":[171,185,210],"when":[174],"isometry":[176],"condition":[177],"satisfied,":[179],"solution":[182,207,215],"obtained":[190,206],"via":[191],"existing":[192],"simplex":[193],"methods":[194],"or":[195,234],"interior":[196],"point":[197],"methods.":[198],"By":[199],"applying":[200],"quantization":[203],"obtained.":[224],"Unlike":[225],"previously":[226],"reported":[227],"techniques":[228],"that":[229,246],"require":[230],"pre-cursor":[232],"model":[233],"parameter":[235],"specifications,":[236],"proposed":[238,248],"method":[239,249],"completely":[241],"adaptive.":[242],"Experiment":[243],"results":[244],"show":[245],"our":[247],"very":[251],"effective":[252],"efficient":[254],"usage.":[264]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2016,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
