{"id":"https://openalex.org/W2992088755","doi":"https://doi.org/10.1109/ccta.2019.8920398","title":"Reinforcement Learning for Mixing Loop Control with Flow Variable Eligibility Trace","display_name":"Reinforcement Learning for Mixing Loop Control with Flow Variable Eligibility Trace","publication_year":2019,"publication_date":"2019-08-01","ids":{"openalex":"https://openalex.org/W2992088755","doi":"https://doi.org/10.1109/ccta.2019.8920398","mag":"2992088755"},"language":"en","primary_location":{"id":"doi:10.1109/ccta.2019.8920398","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ccta.2019.8920398","pdf_url":null,"source":{"id":"https://openalex.org/S4306498490","display_name":"2019 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":"2019 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/A5020109766","display_name":"Anders Overgaard","orcid":null},"institutions":[{"id":"https://openalex.org/I4210161280","display_name":"Grundfos (Denmark)","ror":"https://ror.org/05rdv5n40","country_code":"DK","type":"company","lineage":["https://openalex.org/I4210161280","https://openalex.org/I4392738325"]}],"countries":["DK"],"is_corresponding":true,"raw_author_name":"Anders Overgaard","raw_affiliation_strings":["Core Technology -Department of Control Technology, Grundfos Holding A/S, Bjerringbro, Denmark"],"affiliations":[{"raw_affiliation_string":"Core Technology -Department of Control Technology, Grundfos Holding A/S, Bjerringbro, Denmark","institution_ids":["https://openalex.org/I4210161280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102737413","display_name":"Brian Kongsgaard Nielsen","orcid":"https://orcid.org/0000-0002-6156-4761"},"institutions":[{"id":"https://openalex.org/I4210161280","display_name":"Grundfos (Denmark)","ror":"https://ror.org/05rdv5n40","country_code":"DK","type":"company","lineage":["https://openalex.org/I4210161280","https://openalex.org/I4392738325"]}],"countries":["DK"],"is_corresponding":false,"raw_author_name":"Brian Kongsgaard Nielsen","raw_affiliation_strings":["Core Technology -Department of Control Technology, Grundfos Holding A/S, Bjerringbro, Denmark"],"affiliations":[{"raw_affiliation_string":"Core Technology -Department of Control Technology, Grundfos Holding A/S, Bjerringbro, Denmark","institution_ids":["https://openalex.org/I4210161280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045171559","display_name":"Carsten Skovmose Kalles\u00f8e","orcid":"https://orcid.org/0000-0002-4197-6777"},"institutions":[{"id":"https://openalex.org/I4210161280","display_name":"Grundfos (Denmark)","ror":"https://ror.org/05rdv5n40","country_code":"DK","type":"company","lineage":["https://openalex.org/I4210161280","https://openalex.org/I4392738325"]}],"countries":["DK"],"is_corresponding":false,"raw_author_name":"Carsten Skovmose Kallesoe","raw_affiliation_strings":["Core Technology -Department of Control Technology, Grundfos Holding A/S, Bjerringbro, Denmark"],"affiliations":[{"raw_affiliation_string":"Core Technology -Department of Control Technology, Grundfos Holding A/S, Bjerringbro, Denmark","institution_ids":["https://openalex.org/I4210161280"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5066732851","display_name":"Jan Dimon Bendtsen","orcid":"https://orcid.org/0000-0003-0497-4614"},"institutions":[{"id":"https://openalex.org/I891191580","display_name":"Aalborg University","ror":"https://ror.org/04m5j1k67","country_code":"DK","type":"education","lineage":["https://openalex.org/I891191580"]}],"countries":["DK"],"is_corresponding":false,"raw_author_name":"Jan Dimon Bendtsen","raw_affiliation_strings":["Department of Electronic Systems, section of Automation and Control, alborg University, Aalborg, Denmark"],"affiliations":[{"raw_affiliation_string":"Department of Electronic Systems, section of Automation and Control, alborg University, Aalborg, Denmark","institution_ids":["https://openalex.org/I891191580"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5020109766"],"corresponding_institution_ids":["https://openalex.org/I4210161280"],"apc_list":null,"apc_paid":null,"fwci":1.3909,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.86609152,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1043","last_page":"1048"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10121","display_name":"Building Energy and Comfort Optimization","score":0.9990000128746033,"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":0.9990000128746033,"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/T10603","display_name":"Smart Grid Energy Management","score":0.9919000267982483,"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/T10791","display_name":"Advanced Control Systems Optimization","score":0.9878000020980835,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/controller","display_name":"Controller (irrigation)","score":0.7012242078781128},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.7008152008056641},{"id":"https://openalex.org/keywords/mixing","display_name":"Mixing (physics)","score":0.68084317445755},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.6431841850280762},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.584567666053772},{"id":"https://openalex.org/keywords/control-system","display_name":"Control system","score":0.4821893274784088},{"id":"https://openalex.org/keywords/control-engineering","display_name":"Control engineering","score":0.3711279630661011},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.2740369141101837},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.227262943983078},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1733277142047882},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.07285010814666748}],"concepts":[{"id":"https://openalex.org/C203479927","wikidata":"https://www.wikidata.org/wiki/Q5165939","display_name":"Controller (irrigation)","level":2,"score":0.7012242078781128},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.7008152008056641},{"id":"https://openalex.org/C138777275","wikidata":"https://www.wikidata.org/wiki/Q6884054","display_name":"Mixing (physics)","level":2,"score":0.68084317445755},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.6431841850280762},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.584567666053772},{"id":"https://openalex.org/C17500928","wikidata":"https://www.wikidata.org/wiki/Q959968","display_name":"Control system","level":2,"score":0.4821893274784088},{"id":"https://openalex.org/C133731056","wikidata":"https://www.wikidata.org/wiki/Q4917288","display_name":"Control engineering","level":1,"score":0.3711279630661011},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.2740369141101837},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.227262943983078},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1733277142047882},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.07285010814666748},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"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/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"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":2,"locations":[{"id":"doi:10.1109/ccta.2019.8920398","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ccta.2019.8920398","pdf_url":null,"source":{"id":"https://openalex.org/S4306498490","display_name":"2019 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":"2019 IEEE Conference on Control Technology and Applications (CCTA)","raw_type":"proceedings-article"},{"id":"pmh:oai:pure.atira.dk:publications/f2a515c9-a229-4c5f-9a3b-4563c7a6f23d","is_oa":false,"landing_page_url":"https://vbn.aau.dk/da/publications/f2a515c9-a229-4c5f-9a3b-4563c7a6f23d","pdf_url":null,"source":{"id":"https://openalex.org/S4306401731","display_name":"VBN Forskningsportal (Aalborg Universitet)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I891191580","host_organization_name":"Aalborg University","host_organization_lineage":["https://openalex.org/I891191580"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Overgaard , A , Nielsen , B K , Kalles\u00f8e , C &amp; Bendtsen , J D 2019 , Reinforcement Learning for Mixing Loop Control with Flow Variable Eligibility Trace . in IEEE Conference on Control Technology and Applications (CCTA) . , 8920398 , IEEE , pp. 1043-1048 , 2019 IEEE Conference on Control Technology and Applications (CCTA) , Hong Kong , China , 19/08/2019 . https://doi.org/10.1109/CCTA.2019.8920398","raw_type":"contributionToPeriodical"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1955461630","https://openalex.org/W1973944436","https://openalex.org/W1986570820","https://openalex.org/W2100677568","https://openalex.org/W2199388932","https://openalex.org/W2469115065","https://openalex.org/W2625874945","https://openalex.org/W2737991724","https://openalex.org/W2760990240","https://openalex.org/W2799009154","https://openalex.org/W2963317745","https://openalex.org/W2964016927","https://openalex.org/W2968386628","https://openalex.org/W3041202696"],"related_works":["https://openalex.org/W2615607975","https://openalex.org/W2000675896","https://openalex.org/W2192101006","https://openalex.org/W2116800748","https://openalex.org/W2638730922","https://openalex.org/W2190465783","https://openalex.org/W2027827693","https://openalex.org/W2381267592","https://openalex.org/W4241033836","https://openalex.org/W2053371515"],"abstract_inverted_index":{"Mixing":[0],"Loops":[1],"are":[2],"often":[3],"used":[4,103],"for":[5,30,96],"proper":[6],"pressurization":[7],"and":[8,81],"temperature":[9],"control":[10,16,29,72,102],"in":[11,33,92,104],"building":[12,105],"thermal":[13],"systems.":[14],"Optimal":[15],"of":[17,37,68,76,99],"the":[18,69,77,93],"mixing":[19,31,70,100],"loop":[20,71,94,101],"maximizes":[21],"comfort":[22],"while":[23],"minimizing":[24],"cost.":[25],"To":[26],"ensure":[27],"optimal":[28],"loops":[32],"a":[34,44,90],"wide":[35],"range":[36],"different":[38,41],"buildings":[39],"with":[40,56],"load":[42],"conditions,":[43],"self":[45],"learning":[46,80],"controller":[47,52,62,86],"is":[48,63,87],"here":[49],"proposed.":[50],"The":[51,61,85],"uses":[53],"Reinforcement":[54],"Learning":[55],"flow":[57],"variable":[58],"eligibility":[59],"trace.":[60],"shown":[64],"to":[65,74],"improve":[66],"performance":[67],"compared":[73],"state":[75],"art":[78],"reinforcement":[79],"industrial":[82],"grade":[83],"controllers.":[84],"tested":[88],"on":[89],"hardware":[91],"setup":[95],"rapid":[97],"testing":[98],"heating.":[106]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
