{"id":"https://openalex.org/W2105688367","doi":"https://doi.org/10.1109/tce.2009.5174436","title":"Hybrid model for dynamic power management","display_name":"Hybrid model for dynamic power management","publication_year":2009,"publication_date":"2009-05-01","ids":{"openalex":"https://openalex.org/W2105688367","doi":"https://doi.org/10.1109/tce.2009.5174436","mag":"2105688367"},"language":"en","primary_location":{"id":"doi:10.1109/tce.2009.5174436","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tce.2009.5174436","pdf_url":null,"source":{"id":"https://openalex.org/S126824455","display_name":"IEEE Transactions on Consumer Electronics","issn_l":"0098-3063","issn":["0098-3063","1558-4127"],"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 Consumer Electronics","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/A5072449504","display_name":"Wai\u2010Kong Lee","orcid":"https://orcid.org/0000-0003-4659-8979"},"institutions":[{"id":"https://openalex.org/I173029219","display_name":"Multimedia University","ror":"https://ror.org/04zrbnc33","country_code":"MY","type":"education","lineage":["https://openalex.org/I173029219"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Wai-Kong Lee","raw_affiliation_strings":["Faculty of Engineering, Multimedia University, Cyberjaya, Selangor Darul Ehsan, Malaysia","Fac. of Eng., Multimedia Univ., Cyberjaya, , Malaysia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Engineering, Multimedia University, Cyberjaya, Selangor Darul Ehsan, Malaysia","institution_ids":["https://openalex.org/I173029219"]},{"raw_affiliation_string":"Fac. of Eng., Multimedia Univ., Cyberjaya, , Malaysia","institution_ids":["https://openalex.org/I173029219"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076145586","display_name":"Sze Wei Lee","orcid":"https://orcid.org/0000-0001-7689-8521"},"institutions":[{"id":"https://openalex.org/I931681460","display_name":"Universiti Tunku Abdul Rahman","ror":"https://ror.org/050pq4m56","country_code":"MY","type":"education","lineage":["https://openalex.org/I931681460"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Sze-Wei Lee","raw_affiliation_strings":["Institute of Postgraduate Studies & Research, Universiti Tunku Abdul Rahman, Malaysia","University Tunku Abdul Rahman"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Postgraduate Studies & Research, Universiti Tunku Abdul Rahman, Malaysia","institution_ids":["https://openalex.org/I931681460"]},{"raw_affiliation_string":"University Tunku Abdul Rahman","institution_ids":["https://openalex.org/I931681460"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109079435","display_name":"Wee-Ong Siew","orcid":null},"institutions":[{"id":"https://openalex.org/I173029219","display_name":"Multimedia University","ror":"https://ror.org/04zrbnc33","country_code":"MY","type":"education","lineage":["https://openalex.org/I173029219"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Wee-Ong Siew","raw_affiliation_strings":["Faculty of Engineering, Multimedia University, Cyberjaya, Selangor Darul Ehsan, Malaysia","Fac. of Eng., Multimedia Univ., Cyberjaya, , Malaysia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Engineering, Multimedia University, Cyberjaya, Selangor Darul Ehsan, Malaysia","institution_ids":["https://openalex.org/I173029219"]},{"raw_affiliation_string":"Fac. of Eng., Multimedia Univ., Cyberjaya, , Malaysia","institution_ids":["https://openalex.org/I173029219"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.9155,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":{"value":0.77538682,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"55","issue":"2","first_page":"656","last_page":"664"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10573","display_name":"Power Quality and Harmonics","score":0.9883999824523926,"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"}},"topics":[{"id":"https://openalex.org/T10573","display_name":"Power Quality and Harmonics","score":0.9883999824523926,"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":0.9818999767303467,"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/T10603","display_name":"Smart Grid Energy Management","score":0.9811000227928162,"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/idle","display_name":"Idle","score":0.802577555179596},{"id":"https://openalex.org/keywords/autoregressive-model","display_name":"Autoregressive model","score":0.598148763179779},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5882099270820618},{"id":"https://openalex.org/keywords/heuristic","display_name":"Heuristic","score":0.5635435581207275},{"id":"https://openalex.org/keywords/markov-process","display_name":"Markov process","score":0.5594308376312256},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5206012725830078},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5060479044914246},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.4963069558143616},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.49560844898223877},{"id":"https://openalex.org/keywords/markov-model","display_name":"Markov model","score":0.4534192681312561},{"id":"https://openalex.org/keywords/hidden-markov-model","display_name":"Hidden Markov model","score":0.4503173828125},{"id":"https://openalex.org/keywords/power-management","display_name":"Power management","score":0.438711941242218},{"id":"https://openalex.org/keywords/markov-chain","display_name":"Markov chain","score":0.4348643720149994},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.34344688057899475},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.2842128872871399},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.18681415915489197},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.1408000886440277},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08867707848548889}],"concepts":[{"id":"https://openalex.org/C16320812","wikidata":"https://www.wikidata.org/wiki/Q1812200","display_name":"Idle","level":2,"score":0.802577555179596},{"id":"https://openalex.org/C159877910","wikidata":"https://www.wikidata.org/wiki/Q2202883","display_name":"Autoregressive model","level":2,"score":0.598148763179779},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5882099270820618},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.5635435581207275},{"id":"https://openalex.org/C159886148","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov process","level":2,"score":0.5594308376312256},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5206012725830078},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5060479044914246},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.4963069558143616},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.49560844898223877},{"id":"https://openalex.org/C163836022","wikidata":"https://www.wikidata.org/wiki/Q6771326","display_name":"Markov model","level":3,"score":0.4534192681312561},{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.4503173828125},{"id":"https://openalex.org/C2778774385","wikidata":"https://www.wikidata.org/wiki/Q4437810","display_name":"Power management","level":3,"score":0.438711941242218},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.4348643720149994},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.34344688057899475},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2842128872871399},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.18681415915489197},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.1408000886440277},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08867707848548889},{"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","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/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tce.2009.5174436","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tce.2009.5174436","pdf_url":null,"source":{"id":"https://openalex.org/S126824455","display_name":"IEEE Transactions on Consumer Electronics","issn_l":"0098-3063","issn":["0098-3063","1558-4127"],"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 Consumer Electronics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","score":0.7300000190734863,"display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W4908236","https://openalex.org/W1579584870","https://openalex.org/W1598847143","https://openalex.org/W1631737700","https://openalex.org/W1876064222","https://openalex.org/W1879504903","https://openalex.org/W1981917151","https://openalex.org/W2000162505","https://openalex.org/W2000965156","https://openalex.org/W2017059355","https://openalex.org/W2020142038","https://openalex.org/W2036693362","https://openalex.org/W2037935721","https://openalex.org/W2053784242","https://openalex.org/W2072827245","https://openalex.org/W2081059029","https://openalex.org/W2096712659","https://openalex.org/W2106495804","https://openalex.org/W2110211554","https://openalex.org/W2116648802","https://openalex.org/W2126940339","https://openalex.org/W2138584505","https://openalex.org/W2141703670","https://openalex.org/W2144554708","https://openalex.org/W2146510091","https://openalex.org/W2149093093","https://openalex.org/W2156886733","https://openalex.org/W2158663270","https://openalex.org/W2164762242","https://openalex.org/W2165640581","https://openalex.org/W2546032974","https://openalex.org/W3029859049","https://openalex.org/W3196099841","https://openalex.org/W4241357800","https://openalex.org/W4244058205","https://openalex.org/W6639349739","https://openalex.org/W6650267750","https://openalex.org/W6659412158","https://openalex.org/W6667518390","https://openalex.org/W6800525109"],"related_works":["https://openalex.org/W2053269318","https://openalex.org/W2546021431","https://openalex.org/W2581127593","https://openalex.org/W1510894296","https://openalex.org/W2134386692","https://openalex.org/W2082284720","https://openalex.org/W2194396582","https://openalex.org/W2116722627","https://openalex.org/W2537260108","https://openalex.org/W2379938888"],"abstract_inverted_index":{"Dynamic":[0],"Power":[1],"Management":[2],"(DPM)":[3],"is":[4,38,62],"a":[5,93],"system":[6,97],"level":[7],"power":[8,157],"management":[9],"technique":[10,31],"that":[11,34,98,151],"selectively":[12],"shut":[13],"down":[14],"idle":[15,36,114,133,145],"electrical":[16],"components":[17],"to":[18,112,165],"save":[19],"power.":[20],"Previous":[21],"works":[22],"are":[23],"mainly":[24],"focused":[25],"on":[26,45,77],"certain":[27,86],"types":[28],"of":[29,130,161],"prediction":[30,43],"which":[32],"assume":[33],"the":[35,59,78,123,131,139,152,162,166],"period":[37,115,134,146],"long":[39],"range":[40,54],"dependent":[41,55],"(heuristic":[42],"based":[44,76],"past":[46,132],"history),":[47],"random":[48,109],"process":[49],"(Markov":[50],"Process)":[51],"or":[52],"short":[53],"(Autoregressive)":[56],"characteristic.":[57],"However,":[58],"user":[60],"behavior":[61],"highly":[63],"variable":[64],"and":[65,108,127,137],"single":[66],"assumption":[67],"might":[68],"not":[69],"hold":[70],"for":[71,143],"all":[72],"conditions.":[73],"Thus,":[74],"techniques":[75],"above":[79],"assumptions":[80],"will":[81,120],"only":[82],"be":[83],"effective":[84],"in":[85,159],"condition":[87],"only.":[88],"Hence,":[89],"we":[90],"propose":[91],"here":[92],"Hybrid":[94,118,153],"Model":[95,119,154],"DPM":[96],"combines":[99],"Moving":[100],"Average":[101],"(MA),":[102],"Time":[103],"Delay":[104],"Neural":[105],"Network":[106],"(TDNN)":[107],"walk":[110],"model":[111],"perform":[113],"prediction.":[116,147],"The":[117],"first":[121],"analyze":[122],"Long":[124],"Range":[125],"Dependency":[126],"central":[128],"tendency":[129],"time":[135],"series,":[136],"choose":[138],"most":[140,160],"appropriate":[141],"strategy":[142],"future":[144],"Simulation":[148],"results":[149],"show":[150],"achieves":[155],"higher":[156],"saving":[158],"scenarios":[163],"compared":[164],"other":[167],"methods.":[168]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":1},{"year":2013,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}