{"id":"https://openalex.org/W2886516610","doi":"https://doi.org/10.23919/acc.2018.8431040","title":"Versatile Ventilation and Air Conditioning Operation: Gaussian Process Regression for Temperature Field Prediction","display_name":"Versatile Ventilation and Air Conditioning Operation: Gaussian Process Regression for Temperature Field Prediction","publication_year":2018,"publication_date":"2018-06-01","ids":{"openalex":"https://openalex.org/W2886516610","doi":"https://doi.org/10.23919/acc.2018.8431040","mag":"2886516610"},"language":"en","primary_location":{"id":"doi:10.23919/acc.2018.8431040","is_oa":false,"landing_page_url":"https://doi.org/10.23919/acc.2018.8431040","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 Annual American Control Conference (ACC)","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/A5036338282","display_name":"Janine Guenther","orcid":null},"institutions":[{"id":"https://openalex.org/I100066346","display_name":"University of Stuttgart","ror":"https://ror.org/04vnq7t77","country_code":"DE","type":"education","lineage":["https://openalex.org/I100066346"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Janine Guenther","raw_affiliation_strings":["Institute for System Dynamics, University of Stuttgart, Stuttgart, Germany"],"affiliations":[{"raw_affiliation_string":"Institute for System Dynamics, University of Stuttgart, Stuttgart, Germany","institution_ids":["https://openalex.org/I100066346"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5054507125","display_name":"Oliver Sawodny","orcid":"https://orcid.org/0000-0002-6910-2473"},"institutions":[{"id":"https://openalex.org/I100066346","display_name":"University of Stuttgart","ror":"https://ror.org/04vnq7t77","country_code":"DE","type":"education","lineage":["https://openalex.org/I100066346"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Oliver Sawodny","raw_affiliation_strings":["Institute for System Dynamics, University of Stuttgart, Stuttgart, Germany"],"affiliations":[{"raw_affiliation_string":"Institute for System Dynamics, University of Stuttgart, Stuttgart, Germany","institution_ids":["https://openalex.org/I100066346"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5036338282"],"corresponding_institution_ids":["https://openalex.org/I100066346"],"apc_list":null,"apc_paid":null,"fwci":0.7535,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.74012277,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":93,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"5262","last_page":"5267"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10121","display_name":"Building Energy and Comfort Optimization","score":0.9994000196456909,"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":0.9994000196456909,"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/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.9580000042915344,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T11371","display_name":"Wind and Air Flow Studies","score":0.9406999945640564,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/air-conditioning","display_name":"Air conditioning","score":0.5907628536224365},{"id":"https://openalex.org/keywords/ventilation","display_name":"Ventilation (architecture)","score":0.5898690819740295},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5530569553375244},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5464391708374023},{"id":"https://openalex.org/keywords/gaussian-process","display_name":"Gaussian process","score":0.536639928817749},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.5178356766700745},{"id":"https://openalex.org/keywords/kriging","display_name":"Kriging","score":0.5151037573814392},{"id":"https://openalex.org/keywords/model-predictive-control","display_name":"Model predictive control","score":0.5026421546936035},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.4862333834171295},{"id":"https://openalex.org/keywords/compensation","display_name":"Compensation (psychology)","score":0.47769027948379517},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.3537771701812744},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.29767489433288574},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.28812116384506226},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.27828842401504517},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.1938905417919159},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13110193610191345},{"id":"https://openalex.org/keywords/mechanical-engineering","display_name":"Mechanical engineering","score":0.10988348722457886}],"concepts":[{"id":"https://openalex.org/C103742991","wikidata":"https://www.wikidata.org/wiki/Q173725","display_name":"Air conditioning","level":2,"score":0.5907628536224365},{"id":"https://openalex.org/C200457457","wikidata":"https://www.wikidata.org/wiki/Q584049","display_name":"Ventilation (architecture)","level":2,"score":0.5898690819740295},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5530569553375244},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5464391708374023},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.536639928817749},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.5178356766700745},{"id":"https://openalex.org/C81692654","wikidata":"https://www.wikidata.org/wiki/Q225926","display_name":"Kriging","level":2,"score":0.5151037573814392},{"id":"https://openalex.org/C172205157","wikidata":"https://www.wikidata.org/wiki/Q1782962","display_name":"Model predictive control","level":3,"score":0.5026421546936035},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.4862333834171295},{"id":"https://openalex.org/C2780023022","wikidata":"https://www.wikidata.org/wiki/Q1338171","display_name":"Compensation (psychology)","level":2,"score":0.47769027948379517},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.3537771701812744},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.29767489433288574},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.28812116384506226},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.27828842401504517},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.1938905417919159},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13110193610191345},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.10988348722457886},{"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/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C11171543","wikidata":"https://www.wikidata.org/wiki/Q41630","display_name":"Psychoanalysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.23919/acc.2018.8431040","is_oa":false,"landing_page_url":"https://doi.org/10.23919/acc.2018.8431040","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 Annual American Control Conference (ACC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy","score":0.6000000238418579}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1482849335","https://openalex.org/W1746819321","https://openalex.org/W1958954024","https://openalex.org/W1990708991","https://openalex.org/W2001809201","https://openalex.org/W2060321718","https://openalex.org/W2101143327","https://openalex.org/W2300747268","https://openalex.org/W2480512873","https://openalex.org/W2560996210","https://openalex.org/W4211049957"],"related_works":["https://openalex.org/W1968523686","https://openalex.org/W566010457","https://openalex.org/W2600092203","https://openalex.org/W4300066510","https://openalex.org/W2056958800","https://openalex.org/W2803685231","https://openalex.org/W4293503520","https://openalex.org/W3134152097","https://openalex.org/W4311388919","https://openalex.org/W2966696655"],"abstract_inverted_index":{"Comfort":[0],"oriented":[1],"control":[2,161],"approaches":[3,30],"require":[4],"detailed":[5,129],"knowledge":[6,130],"of":[7,39,46,112,122,131,140,143,154],"the":[8,14,37,40,44,110,113,120,132,141],"spatial":[9,133],"room":[10],"conditions,":[11,76,146],"especially":[12],"how":[13],"temperature":[15,41,134],"is":[16,66,104,117],"affected":[17],"by":[18],"diverse":[19,144],"air":[20,98],"conditioning":[21,99],"and":[22,92,136,151],"ventilation":[23,69,145],"operation.":[24,100],"This":[25],"paper":[26],"presents":[27],"different":[28],"modeling":[29,61],"based":[31],"on":[32],"Gaussian":[33,124],"Process":[34],"Regression":[35],"for":[36,109,138,159],"prediction":[38,139],"field":[42],"using":[43],"example":[45],"an":[47],"open-plan":[48],"office":[49],"equipped":[50],"with":[51],"randomly":[52],"distributed":[53],"sensors.":[54],"In":[55],"addition":[56],"to":[57,88,94,96],"a":[58,63,107,123,128],"common":[59],"location-based":[60],"approach,":[62],"distance-based":[64],"model":[65,126],"introduced.":[67],"Furthermore,":[68],"condition,":[70],"as":[71,73,106],"well":[72],"additional":[74],"boundary":[75],"are":[77,84],"taken":[78],"into":[79],"account.":[80],"The":[81],"investigated":[82],"models":[83],"compared":[85],"in":[86],"regard":[87],"their":[89],"predictive":[90],"quality":[91],"ability":[93],"adapt":[95],"changing":[97],"A":[101],"CFD":[102],"simulation":[103],"used":[105],"reference":[108],"evaluation":[111],"model's":[114],"quality.":[115],"It":[116],"shown":[118],"that":[119,148],"application":[121],"process":[125],"provides":[127],"distribution":[135],"allows":[137],"impact":[142],"such":[147],"disturbance":[149],"compensation":[150],"local":[152],"actuation":[153],"temperatures":[155],"can":[156],"be":[157],"enabled":[158],"future":[160],"concepts.":[162]},"counts_by_year":[{"year":2021,"cited_by_count":2},{"year":2019,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
