{"id":"https://openalex.org/W2899337973","doi":"https://doi.org/10.1109/ccta.2018.8511493","title":"Exploring Connections Between a Multiple Model Kalman Filter and Dynamic Fixed Share with Applications to Demand Response","display_name":"Exploring Connections Between a Multiple Model Kalman Filter and Dynamic Fixed Share with Applications to Demand Response","publication_year":2018,"publication_date":"2018-08-01","ids":{"openalex":"https://openalex.org/W2899337973","doi":"https://doi.org/10.1109/ccta.2018.8511493","mag":"2899337973"},"language":"en","primary_location":{"id":"doi:10.1109/ccta.2018.8511493","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ccta.2018.8511493","pdf_url":null,"source":{"id":"https://openalex.org/S4306498315","display_name":"2018 IEEE Conference on Control Technology and Applications (CCTA)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE Conference on Control Technology and Applications (CCTA)","raw_type":"proceedings-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/A5053630461","display_name":"Gregory S. Ledva","orcid":"https://orcid.org/0000-0003-0155-6943"},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan\u2013Ann Arbor","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Gregory S. Ledva","raw_affiliation_strings":["Department of Electrical Engineering & Computer Science, University of Michigan, Ann Arbor, MI, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering & Computer Science, University of Michigan, Ann Arbor, MI, USA","institution_ids":["https://openalex.org/I27837315"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029521003","display_name":"Laura Balzano","orcid":"https://orcid.org/0000-0003-2914-123X"},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan\u2013Ann Arbor","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Laura Balzano","raw_affiliation_strings":["Department of Electrical Engineering & Computer Science, University of Michigan, Ann Arbor, MI, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering & Computer Science, University of Michigan, Ann Arbor, MI, USA","institution_ids":["https://openalex.org/I27837315"]}]},{"author_position":"last","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\u2013Ann Arbor","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":["Department of Electrical Engineering & Computer Science, University of Michigan, Ann Arbor, MI, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering & Computer Science, University of Michigan, Ann Arbor, MI, USA","institution_ids":["https://openalex.org/I27837315"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5053630461"],"corresponding_institution_ids":["https://openalex.org/I27837315"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.18564534,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"217","last_page":"223"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10603","display_name":"Smart Grid Energy Management","score":0.9997000098228455,"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":0.9997000098228455,"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/T12761","display_name":"Data Stream Mining Techniques","score":0.9952999949455261,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T12101","display_name":"Advanced Bandit Algorithms Research","score":0.9891999959945679,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.8303111791610718},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6850406527519226},{"id":"https://openalex.org/keywords/heuristics","display_name":"Heuristics","score":0.5935015678405762},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5041009187698364},{"id":"https://openalex.org/keywords/implementation","display_name":"Implementation","score":0.4903419017791748},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.44928833842277527},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3482515215873718},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.23303121328353882},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.21891257166862488}],"concepts":[{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.8303111791610718},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6850406527519226},{"id":"https://openalex.org/C127705205","wikidata":"https://www.wikidata.org/wiki/Q5748245","display_name":"Heuristics","level":2,"score":0.5935015678405762},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5041009187698364},{"id":"https://openalex.org/C26713055","wikidata":"https://www.wikidata.org/wiki/Q245962","display_name":"Implementation","level":2,"score":0.4903419017791748},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.44928833842277527},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3482515215873718},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.23303121328353882},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21891257166862488},{"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ccta.2018.8511493","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ccta.2018.8511493","pdf_url":null,"source":{"id":"https://openalex.org/S4306498315","display_name":"2018 IEEE Conference on Control Technology and Applications (CCTA)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE Conference on Control Technology and Applications (CCTA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","score":0.8299999833106995,"display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1970041563","https://openalex.org/W1979289676","https://openalex.org/W2101986122","https://openalex.org/W2126635202","https://openalex.org/W2174209625","https://openalex.org/W2181681996","https://openalex.org/W2238582461","https://openalex.org/W2513180554","https://openalex.org/W2572110155","https://openalex.org/W2790374560","https://openalex.org/W2794413559","https://openalex.org/W2806459650","https://openalex.org/W2975461012","https://openalex.org/W4205841652","https://openalex.org/W6681158678","https://openalex.org/W6685775293","https://openalex.org/W6751696522"],"related_works":["https://openalex.org/W2280422768","https://openalex.org/W3143197806","https://openalex.org/W4252555497","https://openalex.org/W2120447654","https://openalex.org/W2977179488","https://openalex.org/W3121175838","https://openalex.org/W3016293053","https://openalex.org/W1690653314","https://openalex.org/W2401723157","https://openalex.org/W2144453115"],"abstract_inverted_index":{"Kalman":[0,52,77,92],"filtering":[1,53],"and":[2,30,42,95,176],"online":[3,25,35],"learning":[4,26,36],"are":[5,28,69,143,228],"two":[6,32],"approaches":[7],"to":[8,51,64,71,105,126,138,145,154,162,186,230],"estimate":[9,187],"the":[10,16,110,118,128,147,164,171,174,188,203,232],"state":[11,66],"of":[12,18,102,149,166,173,192,195],"a":[13,75,89,100,132,150,180,207],"system":[14],"in":[15,108,152,179],"presence":[17],"inaccurate":[19],"(e.g.,":[20],"noisy)":[21],"measurements.":[22],"While":[23],"many":[24],"algorithms":[27,175],"model-free":[29],"data-driven,":[31],"recently":[33],"developed":[34],"algorithms,":[37],"Dynamic":[38,43],"Mirror":[39],"Descent":[40],"(DMD)":[41],"Fixed":[44],"Share":[45],"(DFS),":[46],"incorporate":[47,99],"dynamic":[48],"models,":[49],"similarly":[50],"algorithms.":[54],"Our":[55],"previous":[56,83],"work":[57,80,84],"showed":[58],"that":[59,68,117,142,216],"DMD":[60],"can":[61,123,158],"be":[62,124,160,200],"constructed":[63,125],"produce":[65,127],"estimates":[67,130],"identical":[70],"those":[72],"produced":[73],"by":[74,85],"discrete-time":[76],"filter.":[78],"This":[79],"extends":[81],"our":[82],"exploring":[86],"connections":[87],"between":[88],"multiple":[90],"model":[91,112],"filter":[93],"(MMKF)":[94],"DFS,":[96],"which":[97,109,198],"both":[98],"set":[101],"candidate":[103],"models":[104],"address":[106],"situations":[107],"underlying":[111],"is":[113],"unknown.":[114],"We":[115,134],"show":[116,215],"functions/parameters":[119,233],"used":[120,144,161,201,234],"within":[121,206,235],"DFS":[122,137,217],"same":[129],"as":[131,202],"MMKF.":[133],"then":[135],"modify":[136],"include":[139],"several":[140],"heuristics":[141],"improve":[146,163],"performance":[148,165,172],"MMKF":[151,224],"order":[153],"assess":[155],"whether":[156],"they":[157],"also":[159],"DFS.":[167,236],"Finally,":[168],"we":[169,184,227],"investigate":[170],"their":[177],"variations":[178],"simulation":[181,212],"study.":[182],"Specifically,":[183],"seek":[185],"time-varying":[189],"power":[190],"consumption":[191],"an":[193],"aggregation":[194],"electric":[196],"loads,":[197],"could":[199],"feedback":[204],"signal":[205],"demand":[208],"response":[209],"algorithm.":[210],"The":[211],"results":[213],"empirically":[214],"implementations":[218,225],"generally":[219],"perform":[220],"better":[221],"than":[222],"comparable":[223],"since":[226],"able":[229],"tune":[231]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
