{"id":"https://openalex.org/W2042664080","doi":"https://doi.org/10.1109/pscc.2014.7038310","title":"Control of thermostatic loads using moving horizon estimation of individual load states","display_name":"Control of thermostatic loads using moving horizon estimation of individual load states","publication_year":2014,"publication_date":"2014-08-01","ids":{"openalex":"https://openalex.org/W2042664080","doi":"https://doi.org/10.1109/pscc.2014.7038310","mag":"2042664080"},"language":"en","primary_location":{"id":"doi:10.1109/pscc.2014.7038310","is_oa":false,"landing_page_url":"https://doi.org/10.1109/pscc.2014.7038310","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 Power Systems Computation Conference","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/A5021678427","display_name":"Evangelos Vrettos","orcid":"https://orcid.org/0000-0001-9912-9979"},"institutions":[{"id":"https://openalex.org/I35440088","display_name":"ETH Zurich","ror":"https://ror.org/05a28rw58","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I35440088"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Evangelos Vrettos","raw_affiliation_strings":["Power Systems Laboratory, ETH Zurich, Switzerland","Power Systems Laboratory ETH Zurich Switzerland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Power Systems Laboratory, ETH Zurich, Switzerland","institution_ids":["https://openalex.org/I35440088"]},{"raw_affiliation_string":"Power Systems Laboratory ETH Zurich Switzerland","institution_ids":["https://openalex.org/I35440088"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015257057","display_name":"Johanna L. Mathieu","orcid":"https://orcid.org/0000-0001-8834-5350"},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Johanna L. Mathieu","raw_affiliation_strings":["Electrical and Computer Engineering, University of Michigan, USA","[Electrical and Computer Engineering, University of Michigan, USA]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electrical and Computer Engineering, University of Michigan, USA","institution_ids":["https://openalex.org/I27837315"]},{"raw_affiliation_string":"[Electrical and Computer Engineering, University of Michigan, USA]","institution_ids":["https://openalex.org/I27837315"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5089346574","display_name":"G\u00f6ran Andersson","orcid":"https://orcid.org/0000-0002-7715-7087"},"institutions":[{"id":"https://openalex.org/I35440088","display_name":"ETH Zurich","ror":"https://ror.org/05a28rw58","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I35440088"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Goran Andersson","raw_affiliation_strings":["Power Systems Laboratory, ETH Zurich, Switzerland","Power Systems Laboratory ETH Zurich Switzerland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Power Systems Laboratory, ETH Zurich, Switzerland","institution_ids":["https://openalex.org/I35440088"]},{"raw_affiliation_string":"Power Systems Laboratory ETH Zurich Switzerland","institution_ids":["https://openalex.org/I35440088"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":6.5264,"has_fulltext":false,"cited_by_count":20,"citation_normalized_percentile":{"value":0.97903933,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"153","issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10603","display_name":"Smart Grid Energy Management","score":1.0,"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/T10603","display_name":"Smart Grid Energy Management","score":1.0,"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":0.994700014591217,"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/T12146","display_name":"Power Line Communications and Noise","score":0.987500011920929,"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/controller","display_name":"Controller (irrigation)","score":0.7285019755363464},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.6648011207580566},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6196551322937012},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.5449652671813965},{"id":"https://openalex.org/keywords/aggregate","display_name":"Aggregate (composite)","score":0.5100188851356506},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.480925053358078},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4795079529285431},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.4318951368331909},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.42299243807792664},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.41683024168014526},{"id":"https://openalex.org/keywords/control-engineering","display_name":"Control engineering","score":0.33628764748573303},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.24802443385124207},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12002831697463989},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.11052346229553223}],"concepts":[{"id":"https://openalex.org/C203479927","wikidata":"https://www.wikidata.org/wiki/Q5165939","display_name":"Controller (irrigation)","level":2,"score":0.7285019755363464},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.6648011207580566},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6196551322937012},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.5449652671813965},{"id":"https://openalex.org/C4679612","wikidata":"https://www.wikidata.org/wiki/Q866298","display_name":"Aggregate (composite)","level":2,"score":0.5100188851356506},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.480925053358078},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4795079529285431},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.4318951368331909},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.42299243807792664},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.41683024168014526},{"id":"https://openalex.org/C133731056","wikidata":"https://www.wikidata.org/wiki/Q4917288","display_name":"Control engineering","level":1,"score":0.33628764748573303},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.24802443385124207},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12002831697463989},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.11052346229553223},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"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/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/pscc.2014.7038310","is_oa":false,"landing_page_url":"https://doi.org/10.1109/pscc.2014.7038310","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 Power Systems Computation Conference","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.6299999952316284}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W1483299780","https://openalex.org/W1973830370","https://openalex.org/W1977445582","https://openalex.org/W1997158423","https://openalex.org/W2004853291","https://openalex.org/W2005585337","https://openalex.org/W2009022268","https://openalex.org/W2010029789","https://openalex.org/W2010625231","https://openalex.org/W2012562405","https://openalex.org/W2028551833","https://openalex.org/W2042443642","https://openalex.org/W2068524840","https://openalex.org/W2076335823","https://openalex.org/W2085660763","https://openalex.org/W2092577194","https://openalex.org/W2138280264","https://openalex.org/W2145546780","https://openalex.org/W2153520025","https://openalex.org/W2165030081","https://openalex.org/W2174209625","https://openalex.org/W2181681996","https://openalex.org/W2562854303","https://openalex.org/W6685775293"],"related_works":["https://openalex.org/W4287880334","https://openalex.org/W4366700029","https://openalex.org/W4285230481","https://openalex.org/W2389214306","https://openalex.org/W4385769873","https://openalex.org/W4281634296","https://openalex.org/W4319161863","https://openalex.org/W4235240664","https://openalex.org/W2371687270","https://openalex.org/W4311888330"],"abstract_inverted_index":{"Recent":[0],"research":[1],"has":[2],"shown":[3],"that":[4,46,106,134,172],"thermostatically":[5],"controlled":[6],"loads":[7],"(TCLs)":[8],"can":[9],"provide":[10,140],"power":[11,70],"system":[12,114],"services.":[13],"However,":[14],"a":[15,82,122,129,151],"key":[16],"challenge":[17],"is":[18,79,100,119],"to":[19,51,80,88,103,139],"achieve":[20],"coordinated":[21],"control":[22,32,132,142],"of":[23,26,38,67,72,92,112,153],"large":[24],"populations":[25],"resources":[27],"using":[28],"existing":[29],"communication":[30],"and":[31,63,161,165,180],"infrastructure":[33],"or":[34],"with":[35,143,156],"minimal":[36],"addition":[37],"new":[39],"infrastructure.":[40],"In":[41],"this":[42],"paper,":[43],"we":[44,47],"assume":[45],"only":[48],"have":[49],"access":[50],"realistic":[52],"measurements,":[53],"i.e.":[54],"data":[55],"from":[56,74,96],"residential":[57],"smart":[58],"meters":[59],"every":[60],"15":[61],"minutes":[62],"noisy":[64],"real-time":[65],"measurements":[66],"the":[68,90,110,136,173,182],"aggregate":[69,113],"consumption":[71],"TCLs":[73,95],"distribution":[75],"substations.":[76],"Our":[77,169],"contribution":[78],"develop":[81],"moving":[83],"horizon":[84],"state":[85,178],"estimator":[86],"(MHSE)":[87],"estimate":[89],"states":[91,111],"individual":[93],"stochastic":[94],"these":[97],"measurements.":[98],"This":[99],"in":[101],"contrast":[102],"previous":[104],"work":[105],"focused":[107],"on":[108],"estimating":[109],"models.":[115],"The":[116],"proposed":[117],"MHSE":[118,137,174],"benchmarked":[120],"against":[121],"simpler":[123],"model-based":[124],"prediction.":[125],"We":[126,146],"also":[127],"propose":[128],"scalable":[130],"closed-loop":[131],"structure":[133],"uses":[135],"method":[138],"frequency":[141],"TCL":[144,158],"populations.":[145],"demonstrate":[147],"our":[148],"results":[149],"via":[150],"number":[152],"case":[154],"studies":[155],"different":[157],"aggregations,":[159],"process":[160],"measurement":[162],"noise":[163],"characteristics,":[164],"controller":[166,183],"forcing":[167],"levels.":[168],"simulations":[170],"show":[171],"generally":[175],"provides":[176],"accurate":[177],"estimates":[179],"improves":[181],"performance.":[184]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":5},{"year":2016,"cited_by_count":6},{"year":2015,"cited_by_count":4},{"year":2014,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}