{"id":"https://openalex.org/W7033924445","doi":null,"title":"A study of machine learning-based model predictive control on building energy system","display_name":"A study of machine learning-based model predictive control on building energy system","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W7033924445"},"language":"en","primary_location":{"id":"pmh:oai:dr.ntu.edu.sg:10356/152491","doi":null,"is_oa":false,"landing_page_url":"https://hdl.handle.net/10356/152491","pdf_url":null,"source":{"id":"https://openalex.org/S4306402609","display_name":"DR-NTU (Nanyang Technological University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I172675005","host_organization_name":"Nanyang Technological University","host_organization_lineage":["https://openalex.org/I172675005"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Thesis-Master by Coursework"},"volume":null,"type":"dissertation","is_traditional":true,"indexed_in":[],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Zhang, Qindong","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Zhang, Qindong","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":true,"primary_topic":{"id":"https://openalex.org/T10121","display_name":"Building Energy and Comfort Optimization","score":0.9984999895095825,"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"}},"topics":[{"id":"https://openalex.org/T10121","display_name":"Building Energy and Comfort Optimization","score":0.9984999895095825,"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/T10791","display_name":"Advanced Control Systems Optimization","score":0.0005000000237487257,"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/T11185","display_name":"Integrated Energy Systems Optimization","score":9.999999747378752e-05,"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/model-predictive-control","display_name":"model predictive control","score":0.8379999995231628},{"id":"https://openalex.org/keywords/building-energy-management","display_name":"building energy management","score":0.7789999842643738},{"id":"https://openalex.org/keywords/indoor-thermal-comfort","display_name":"indoor thermal comfort","score":0.796999990940094},{"id":"https://openalex.org/keywords/predicted-mean-vote","display_name":"predicted mean vote","score":0.7250000238418579},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"support vector machine","score":0.9100000262260437},{"id":"https://openalex.org/keywords/narx-model","display_name":"NARX model","score":0.8050000071525574},{"id":"https://openalex.org/keywords/lstm","display_name":"LSTM","score":0.5249999761581421},{"id":"https://openalex.org/keywords/building-thermal-simulation","display_name":"building thermal simulation","score":0.597000002861023},{"id":"https://openalex.org/keywords/multi-objective-optimization","display_name":"multi-objective optimization","score":0.8320000171661377},{"id":"https://openalex.org/keywords/energy-consumption-reduction","display_name":"energy consumption reduction","score":0.6230000257492065},{"id":"https://openalex.org/keywords/office-buildings","display_name":"office buildings","score":0.5529999732971191}],"concepts":[{"id":"https://openalex.org/C172205157","wikidata":"https://www.wikidata.org/wiki/Q1782962","display_name":"Model predictive control","level":3,"score":0.7904999852180481},{"id":"https://openalex.org/C42536954","wikidata":"https://www.wikidata.org/wiki/Q7049462","display_name":"Nonlinear autoregressive exogenous model","level":3,"score":0.7297999858856201},{"id":"https://openalex.org/C133731056","wikidata":"https://www.wikidata.org/wiki/Q4917288","display_name":"Control engineering","level":1,"score":0.6330000162124634},{"id":"https://openalex.org/C47116090","wikidata":"https://www.wikidata.org/wiki/Q716829","display_name":"PID controller","level":3,"score":0.6014999747276306},{"id":"https://openalex.org/C83931994","wikidata":"https://www.wikidata.org/wiki/Q1149653","display_name":"Building automation","level":2,"score":0.5830000042915344},{"id":"https://openalex.org/C203479927","wikidata":"https://www.wikidata.org/wiki/Q5165939","display_name":"Controller (irrigation)","level":2,"score":0.5802000164985657},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5612000226974487},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.546999990940094},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5422999858856201},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.49230000376701355},{"id":"https://openalex.org/C2778530916","wikidata":"https://www.wikidata.org/wiki/Q1352349","display_name":"Building model","level":2,"score":0.4790000021457672},{"id":"https://openalex.org/C159877910","wikidata":"https://www.wikidata.org/wiki/Q2202883","display_name":"Autoregressive model","level":2,"score":0.4560000002384186},{"id":"https://openalex.org/C2780365114","wikidata":"https://www.wikidata.org/wiki/Q169478","display_name":"MATLAB","level":2,"score":0.41119998693466187},{"id":"https://openalex.org/C189474733","wikidata":"https://www.wikidata.org/wiki/Q917912","display_name":"Model building","level":2,"score":0.40400001406669617},{"id":"https://openalex.org/C106527866","wikidata":"https://www.wikidata.org/wiki/Q1489497","display_name":"Building management system","level":3,"score":0.3971000015735626},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.3856000006198883},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.3790000081062317},{"id":"https://openalex.org/C17500928","wikidata":"https://www.wikidata.org/wiki/Q959968","display_name":"Control system","level":2,"score":0.33649998903274536},{"id":"https://openalex.org/C115901376","wikidata":"https://www.wikidata.org/wiki/Q184199","display_name":"Automation","level":2,"score":0.33000001311302185},{"id":"https://openalex.org/C91575142","wikidata":"https://www.wikidata.org/wiki/Q1971426","display_name":"Optimal control","level":2,"score":0.3231000006198883},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.3199000060558319},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.31520000100135803},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.31310001015663147},{"id":"https://openalex.org/C2780440489","wikidata":"https://www.wikidata.org/wiki/Q5227278","display_name":"Data-driven","level":2,"score":0.3116999864578247},{"id":"https://openalex.org/C77405623","wikidata":"https://www.wikidata.org/wiki/Q598451","display_name":"System dynamics","level":2,"score":0.3068000078201294},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.3059999942779541},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.30320000648498535},{"id":"https://openalex.org/C2742236","wikidata":"https://www.wikidata.org/wiki/Q924713","display_name":"Efficient energy use","level":2,"score":0.30059999227523804},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.29840001463890076},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.2881999909877777},{"id":"https://openalex.org/C2779438525","wikidata":"https://www.wikidata.org/wiki/Q5255048","display_name":"Demand response","level":3,"score":0.28130000829696655},{"id":"https://openalex.org/C82327864","wikidata":"https://www.wikidata.org/wiki/Q835100","display_name":"Intelligent control","level":2,"score":0.2782999873161316},{"id":"https://openalex.org/C536315585","wikidata":"https://www.wikidata.org/wiki/Q7698332","display_name":"Temperature control","level":2,"score":0.27480000257492065},{"id":"https://openalex.org/C133913538","wikidata":"https://www.wikidata.org/wiki/Q774514","display_name":"Thermal comfort","level":2,"score":0.2718000113964081},{"id":"https://openalex.org/C45804977","wikidata":"https://www.wikidata.org/wiki/Q7239673","display_name":"Predictive modelling","level":2,"score":0.26030001044273376}],"mesh":[],"locations_count":1,"locations":[{"id":"pmh:oai:dr.ntu.edu.sg:10356/152491","doi":null,"is_oa":false,"landing_page_url":"https://hdl.handle.net/10356/152491","pdf_url":null,"source":{"id":"https://openalex.org/S4306402609","display_name":"DR-NTU (Nanyang Technological University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I172675005","host_organization_name":"Nanyang Technological University","host_organization_lineage":["https://openalex.org/I172675005"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Thesis-Master by Coursework"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W3031194307","https://openalex.org/W3211168911","https://openalex.org/W4408211069","https://openalex.org/W3097481406","https://openalex.org/W7011703451","https://openalex.org/W2792270834","https://openalex.org/W3099024291","https://openalex.org/W4400619271","https://openalex.org/W2989651212","https://openalex.org/W2972317891"],"abstract_inverted_index":{"At":[0,314],"present,":[1],"most":[2,110],"of":[3,27,29,36,66,100,108,122,135,216,318],"the":[4,12,23,30,33,37,48,95,109,119,130,187,195,202,213,239,287,300,316],"building":[5,58,68,125,165,176,240,279],"automation":[6],"and":[7,25,70,97,112,155,167,206,231,243,281,311],"control":[8,15,34,39,54,84,98,260],"(BAC)":[9],"are":[10,139,160,208],"using":[11,51,163],"conventional":[13,38],"PID":[14],"or":[16],"simple":[17],"feedback":[18,53],"control.":[19],"However,":[20],"due":[21],"to":[22,55,77,93,117,210,259,277,285,307,325],"simplicity":[24],"absence":[26],"knowledge":[28],"controlled":[31,250],"system,":[32],"performance":[35,317],"is":[40,91,106,173,198,226,283,305,322],"poor":[41],"for":[42],"dynamic":[43,102],"systems.":[44],"As":[45],"a":[46,61,79,223,267],"result,":[47],"BAC":[49],"system":[50],"traditional":[52,123],"deal":[56],"with":[57,151,275,303],"dynamics":[59],"makes":[60],"big":[62],"challenging":[63],"in":[64,252,266,270,296],"terms":[65],"managing":[67],"energy":[69,126,309],"indoor":[71],"thermal":[72,168,177,241,288,312],"comfort.":[73,313],"This":[74,255],"dissertation":[75],"tries":[76],"propose":[78],"machine":[80,142],"learning-based":[81],"model":[82,150,215,221,235,242],"predictive":[83],"(ML-based":[85],"MPC":[86,89,131,217,224,230,256,273,320],"controller).":[87],"The":[88,171,183,272],"controller":[90,225,257,321],"able":[92],"solve":[94],"optimization":[96],"problem":[99],"nonlinear":[101,147],"system.":[103],"Machine":[104],"learning":[105],"one":[107],"advanced":[111],"popular":[113],"data":[114,172],"driven":[115],"technologies":[116],"be":[118],"reliable":[120],"alternative":[121],"physical":[124],"model.":[127],"\\nTo":[128],"build":[129],"controller,":[132],"four":[133,188,203],"types":[134],"ML":[136,220,232,276],"model,":[137],"which":[138],"support":[140],"vector":[141],"(SVM),":[143],"random":[144],"forest":[145],"(RF),":[146],"autoregressive":[148],"exogenous":[149],"external":[152],"inputs":[153],"(NARX)":[154],"deep":[156],"network":[157,246],"long-short-term-memory":[158],"(LSTM)":[159],"analyzed":[161],"by":[162,228],"generated":[164],"climate":[166],"comfort":[169,289],"data.":[170],"obtained":[174],"though":[175],"simulation":[178,326],"on":[179],"IES":[180],"VE":[181],"software.":[182],"results":[184],"show":[185],"that":[186],"models":[189],"have":[190],"similar":[191],"prediction":[192,214],"accuracy,":[193],"but":[194],"computing":[196],"cost":[197,301],"different.":[199],"Generally,":[200],"among":[201],"models,":[204],"NARX":[205],"SVM":[207,234],"acceptable":[209],"work":[211],"as":[212,238,249],"controller.":[218],"\\nAfter":[219],"analysis,":[222],"developed":[227,319],"merging":[229],"technologies.":[233],"was":[236,247],"selected":[237],"LSTM":[244],"neural":[245],"used":[248,284,306],"emulator":[251],"Matlab":[253],"Simulink.":[254],"aims":[258],"room":[261,297],"air":[262],"handling":[263],"unit":[264],"(AHU)":[265],"target":[268],"office":[269],"Singapore.":[271],"combined":[274],"capture":[278],"thermodynamics":[280],"comfort,":[282],"predict":[286],"index,":[290],"namely":[291],"predicted":[292],"mean":[293],"vote":[294],"(PMV),":[295],"space.":[298],"Subsequently,":[299],"function":[302],"multi-objectives":[304],"optimize":[308],"consumption":[310],"last,":[315],"evaluated":[323],"according":[324],"results.":[327]},"counts_by_year":[],"updated_date":"2026-08-21T09:56:20.448147","created_date":"2025-10-10T00:00:00"}