{"id":"https://openalex.org/W2753956499","doi":"https://doi.org/10.1109/cdc.2017.8264315","title":"Data predictive control using regression trees and ensemble learning","display_name":"Data predictive control using regression trees and ensemble learning","publication_year":2017,"publication_date":"2017-12-01","ids":{"openalex":"https://openalex.org/W2753956499","doi":"https://doi.org/10.1109/cdc.2017.8264315","mag":"2753956499"},"language":"en","primary_location":{"id":"doi:10.1109/cdc.2017.8264315","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cdc.2017.8264315","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE 56th Annual Conference on Decision and Control (CDC)","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/A5000731796","display_name":"Achin Jain","orcid":"https://orcid.org/0000-0002-9808-4948"},"institutions":[{"id":"https://openalex.org/I79576946","display_name":"University of Pennsylvania","ror":"https://ror.org/00b30xv10","country_code":"US","type":"education","lineage":["https://openalex.org/I79576946"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Achin Jain","raw_affiliation_strings":["Department of Electrical and Systems Engineering, University of Pennsylvania, Philadelphia, PA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Systems Engineering, University of Pennsylvania, Philadelphia, PA, USA","institution_ids":["https://openalex.org/I79576946"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052801620","display_name":"Francesco Smarra","orcid":"https://orcid.org/0000-0002-2715-9447"},"institutions":[{"id":"https://openalex.org/I26415053","display_name":"University of L'Aquila","ror":"https://ror.org/01j9p1r26","country_code":"IT","type":"education","lineage":["https://openalex.org/I26415053"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Francesco Smarra","raw_affiliation_strings":["Department of Information Engineering, Computer Science and Mathematics, University of L'Aquila, L'Aquila, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Information Engineering, Computer Science and Mathematics, University of L'Aquila, L'Aquila, Italy","institution_ids":["https://openalex.org/I26415053"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5009445756","display_name":"Rahul Mangharam","orcid":"https://orcid.org/0000-0002-3388-8283"},"institutions":[{"id":"https://openalex.org/I79576946","display_name":"University of Pennsylvania","ror":"https://ror.org/00b30xv10","country_code":"US","type":"education","lineage":["https://openalex.org/I79576946"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Rahul Mangharam","raw_affiliation_strings":["Department of Electrical and Systems Engineering, University of Pennsylvania, Philadelphia, PA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Systems Engineering, University of Pennsylvania, Philadelphia, PA, USA","institution_ids":["https://openalex.org/I79576946"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":38,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"4446","last_page":"4451"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10121","display_name":"Building Energy and Comfort Optimization","score":0.9991000294685364,"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":0.9991000294685364,"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":0.9958999752998352,"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/T10603","display_name":"Smart Grid Energy Management","score":0.9858999848365784,"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":0.7825894355773926},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6475022435188293},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.5901634693145752},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5858721137046814},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.569898247718811},{"id":"https://openalex.org/keywords/ensemble-learning","display_name":"Ensemble learning","score":0.5247609615325928},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4844624996185303},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.48391419649124146},{"id":"https://openalex.org/keywords/predictive-analytics","display_name":"Predictive analytics","score":0.4694024622440338},{"id":"https://openalex.org/keywords/predictive-power","display_name":"Predictive power","score":0.4467429220676422},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.4326176345348358},{"id":"https://openalex.org/keywords/predictive-modelling","display_name":"Predictive modelling","score":0.4175402820110321},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.41244232654571533},{"id":"https://openalex.org/keywords/regression-analysis","display_name":"Regression analysis","score":0.41114944219589233},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.375469833612442},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.2948669195175171},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.10418260097503662},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10377797484397888}],"concepts":[{"id":"https://openalex.org/C172205157","wikidata":"https://www.wikidata.org/wiki/Q1782962","display_name":"Model predictive control","level":3,"score":0.7825894355773926},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6475022435188293},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.5901634693145752},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5858721137046814},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.569898247718811},{"id":"https://openalex.org/C45942800","wikidata":"https://www.wikidata.org/wiki/Q245652","display_name":"Ensemble learning","level":2,"score":0.5247609615325928},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4844624996185303},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.48391419649124146},{"id":"https://openalex.org/C83209312","wikidata":"https://www.wikidata.org/wiki/Q1053367","display_name":"Predictive analytics","level":2,"score":0.4694024622440338},{"id":"https://openalex.org/C2778136018","wikidata":"https://www.wikidata.org/wiki/Q10350689","display_name":"Predictive power","level":2,"score":0.4467429220676422},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.4326176345348358},{"id":"https://openalex.org/C45804977","wikidata":"https://www.wikidata.org/wiki/Q7239673","display_name":"Predictive modelling","level":2,"score":0.4175402820110321},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.41244232654571533},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.41114944219589233},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.375469833612442},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.2948669195175171},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.10418260097503662},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10377797484397888},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/cdc.2017.8264315","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cdc.2017.8264315","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE 56th Annual Conference on Decision and Control (CDC)","raw_type":"proceedings-article"},{"id":"pmh:oai:repository.upenn.edu:mlab_papers-1120","is_oa":false,"landing_page_url":"https://repository.upenn.edu/mlab_papers/103","pdf_url":null,"source":{"id":"https://openalex.org/S4306402083","display_name":"ScholarlyCommons (University of Pennsylvania)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I79576946","host_organization_name":"University of Pennsylvania","host_organization_lineage":["https://openalex.org/I79576946"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Real-Time and Embedded Systems Lab (mLAB)","raw_type":"text"},{"id":"pmh:oai:repository.upenn.edu:20.500.14332/40602","is_oa":false,"landing_page_url":"https://repository.upenn.edu/handle/20.500.14332/40602","pdf_url":null,"source":{"id":"https://openalex.org/S4306402083","display_name":"ScholarlyCommons (University of Pennsylvania)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I79576946","host_organization_name":"University of Pennsylvania","host_organization_lineage":["https://openalex.org/I79576946"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"published","raw_type":"Presentation"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7","score":0.8600000143051147}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1480376833","https://openalex.org/W1594031697","https://openalex.org/W1978956894","https://openalex.org/W2006392151","https://openalex.org/W2018386036","https://openalex.org/W2108152153","https://openalex.org/W2137471655","https://openalex.org/W2151049413","https://openalex.org/W2153885307","https://openalex.org/W2166313543","https://openalex.org/W2269856308","https://openalex.org/W2518919870","https://openalex.org/W2547303178","https://openalex.org/W2586861772","https://openalex.org/W6682069991"],"related_works":["https://openalex.org/W2809858895","https://openalex.org/W3199841521","https://openalex.org/W4285505876","https://openalex.org/W4321234707","https://openalex.org/W3189884647","https://openalex.org/W3123613287","https://openalex.org/W2582287177","https://openalex.org/W3047847637","https://openalex.org/W4385950391","https://openalex.org/W4311802502"],"abstract_inverted_index":{"Decisions":[0],"on":[1,78,135],"how":[2],"to":[3,67,71,152,160,179],"best":[4],"operate":[5],"large":[6,154],"complex":[7,24],"plants":[8],"such":[9,171],"as":[10],"natural":[11],"gas":[12],"processing,":[13],"oil":[14],"refineries,":[15],"and":[16,50,91,117,145,183],"energy":[17],"efficient":[18],"buildings":[19],"are":[20],"becoming":[21],"ever":[22],"so":[23],"that":[25,113,188],"model-based":[26,175],"predictive":[27],"control":[28],"(MPC)":[29],"algorithms":[30,70,112],"must":[31],"play":[32],"an":[33],"important":[34],"role.":[35],"However,":[36],"a":[37,132,136,153,166],"key":[38],"factor":[39],"prohibiting":[40],"the":[41,47,59,82,126,174,191],"widespread":[42],"adoption":[43],"of":[44,58,128],"MPC,":[45],"is":[46,66,86],"cost,":[48,181],"time,":[49],"effort":[51],"associated":[52],"with":[53,131,195],"learning":[54,69,85],"first-principles":[55],"dynamical":[56],"models":[57,74,97],"underlying":[60],"physical":[61],"system.":[62],"An":[63],"alternative":[64],"approach":[65,130],"employ":[68],"build":[72],"black-box":[73],"which":[75],"rely":[76],"only":[77],"realtime":[79],"data":[80,144],"from":[81],"sensors.":[83],"Machine":[84],"widely":[87],"used":[88,101],"for":[89,102,120],"regression":[90],"classification,":[92],"but":[93],"thus":[94],"far":[95],"data-driven":[96],"have":[98],"not":[99],"been":[100],"closed-loop":[103],"control.":[104,123],"We":[105,124,148],"present":[106],"novel":[107],"Data":[108],"Predictive":[109],"Control":[110],"(DPC)":[111],"use":[114],"Regression":[115],"Trees":[116],"Random":[118],"Forests":[119],"receding":[121],"horizon":[122],"demonstrate":[125],"strength":[127],"our":[129,185],"case":[133],"study":[134],"bilinear":[137],"building":[138,158],"model":[139,159],"identified":[140],"using":[141],"real":[142],"weather":[143],"sensor":[146],"measurements.":[147],"further":[149],"apply":[150],"DPC":[151,189],"scale":[155],"multi-story":[156],"EnergyPlus":[157],"curtail":[161],"total":[162],"power":[163,193],"consumption":[164],"in":[165],"Demand":[167],"Response":[168],"setting.":[169],"In":[170],"cases,":[172],"when":[173],"controllers":[176],"fail":[177],"due":[178],"modeling":[180],"complexity":[182],"scalability,":[184],"results":[186],"show":[187],"curtails":[190],"desired":[192],"usage":[194],"high":[196],"confidence.":[197]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":13},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":6}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
