{"id":"https://openalex.org/W2550156963","doi":"https://doi.org/10.1109/ijcnn.2016.7727559","title":"System identification models and using neural networks for Ground Source Heat Pump with Ground Temperature Modeling","display_name":"System identification models and using neural networks for Ground Source Heat Pump with Ground Temperature Modeling","publication_year":2016,"publication_date":"2016-07-01","ids":{"openalex":"https://openalex.org/W2550156963","doi":"https://doi.org/10.1109/ijcnn.2016.7727559","mag":"2550156963"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2016.7727559","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2016.7727559","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 International Joint Conference on Neural Networks (IJCNN)","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/A5031692056","display_name":"Ahmet K\u00f6se","orcid":"https://orcid.org/0000-0003-1439-2837"},"institutions":[{"id":"https://openalex.org/I111112146","display_name":"Tallinn University of Technology","ror":"https://ror.org/0443cwa12","country_code":"EE","type":"education","lineage":["https://openalex.org/I111112146"]}],"countries":["EE"],"is_corresponding":false,"raw_author_name":"Ahmet Kose","raw_affiliation_strings":["Department of Computer Control, Tallinn University of Technology, Tallinn, Estonia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Control, Tallinn University of Technology, Tallinn, Estonia","institution_ids":["https://openalex.org/I111112146"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5061791014","display_name":"Eduard Petlenkov","orcid":"https://orcid.org/0000-0003-2167-6280"},"institutions":[{"id":"https://openalex.org/I111112146","display_name":"Tallinn University of Technology","ror":"https://ror.org/0443cwa12","country_code":"EE","type":"education","lineage":["https://openalex.org/I111112146"]}],"countries":["EE"],"is_corresponding":false,"raw_author_name":"Eduard Petlenkov","raw_affiliation_strings":["Department of Computer Control, Tallinn University of Technology, Tallinn, Estonia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Control, Tallinn University of Technology, Tallinn, Estonia","institution_ids":["https://openalex.org/I111112146"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3157,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.64947132,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"1","issue":null,"first_page":"2850","last_page":"2855"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11225","display_name":"Geothermal Energy Systems and Applications","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/2105","display_name":"Renewable Energy, Sustainability and the Environment"},"field":{"id":"https://openalex.org/fields/21","display_name":"Energy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11225","display_name":"Geothermal Energy Systems and Applications","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/2105","display_name":"Renewable Energy, Sustainability and the Environment"},"field":{"id":"https://openalex.org/fields/21","display_name":"Energy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10121","display_name":"Building Energy and Comfort Optimization","score":0.9871000051498413,"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/T11372","display_name":"Hydraulic and Pneumatic Systems","score":0.9750000238418579,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical 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/heat-pump","display_name":"Heat pump","score":0.8749069571495056},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6009783148765564},{"id":"https://openalex.org/keywords/heat-exchanger","display_name":"Heat exchanger","score":0.553976833820343},{"id":"https://openalex.org/keywords/system-identification","display_name":"System identification","score":0.5137308835983276},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.449089914560318},{"id":"https://openalex.org/keywords/estimation-theory","display_name":"Estimation theory","score":0.44471362233161926},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4160158634185791},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.3825705051422119},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.3520636558532715},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.21710076928138733},{"id":"https://openalex.org/keywords/mechanical-engineering","display_name":"Mechanical engineering","score":0.16685399413108826},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.15831482410430908}],"concepts":[{"id":"https://openalex.org/C2776461528","wikidata":"https://www.wikidata.org/wiki/Q131313","display_name":"Heat pump","level":3,"score":0.8749069571495056},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6009783148765564},{"id":"https://openalex.org/C107706546","wikidata":"https://www.wikidata.org/wiki/Q189124","display_name":"Heat exchanger","level":2,"score":0.553976833820343},{"id":"https://openalex.org/C119247159","wikidata":"https://www.wikidata.org/wiki/Q1366192","display_name":"System identification","level":3,"score":0.5137308835983276},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.449089914560318},{"id":"https://openalex.org/C167928553","wikidata":"https://www.wikidata.org/wiki/Q1376021","display_name":"Estimation theory","level":2,"score":0.44471362233161926},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4160158634185791},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.3825705051422119},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.3520636558532715},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.21710076928138733},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.16685399413108826},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.15831482410430908},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","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/ijcnn.2016.7727559","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2016.7727559","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","score":0.800000011920929,"id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W286127423","https://openalex.org/W327523187","https://openalex.org/W1996345680","https://openalex.org/W1996970242","https://openalex.org/W2028560228","https://openalex.org/W2072627349","https://openalex.org/W2097423319","https://openalex.org/W2100866664","https://openalex.org/W2101113449","https://openalex.org/W2167741309","https://openalex.org/W2171800554","https://openalex.org/W2418532740","https://openalex.org/W2495885071","https://openalex.org/W3118592679","https://openalex.org/W6611201933","https://openalex.org/W6674616136","https://openalex.org/W6675479133","https://openalex.org/W6684965524","https://openalex.org/W6788335677","https://openalex.org/W7037774378"],"related_works":["https://openalex.org/W1986843320","https://openalex.org/W111245909","https://openalex.org/W2089700252","https://openalex.org/W2037358603","https://openalex.org/W2966067846","https://openalex.org/W2116120532","https://openalex.org/W2135468792","https://openalex.org/W2896026368","https://openalex.org/W2576832989","https://openalex.org/W2115934938"],"abstract_inverted_index":{"This":[0],"paper":[1,91],"addresses":[2],"the":[3,8,57,80,83,87,99,113,125,129,136,143,161,169,173,188,198,204,240],"identification":[4,81,258],"and":[5,32,48,69,145,166,192,209,214,230,259],"implementation":[6,175],"of":[7,19,38,82,89,101,142,147,180,200,221,227,232,244],"Ground":[9],"Source":[10],"Heat":[11],"Pump":[12],"(GSHP)":[13],"Model.":[14],"It":[15,40],"presents":[16],"a":[17,45,72,95],"comparison":[18],"different":[20,64],"models,":[21,118],"including":[22],"neural":[23,153],"network":[24],"(NN)":[25],"based":[26,151,155],"models.":[27,106,149],"The":[28,122,132,206,218,256],"system":[29,96],"was":[30,75],"installed":[31],"is":[33,92,128,176,224],"located":[34],"at":[35,63],"Tallinn":[36],"University":[37],"Technology.":[39],"includes":[41],"borehole":[42],"heat":[43,46,49,104,164,184,201,268],"exchangers,":[44],"pump":[47,105,165,269],"distribution":[50],"part,":[51],"which":[52],"are":[53,236,248],"set":[54,229,235],"up":[55],"in":[56,264],"same":[58],"plant.":[59],"Although":[60],"experimental":[61],"data":[62,228,234,246,252],"depth":[65],"levels":[66],"were":[67,109,120,135,158,212],"measured":[68,207],"stored":[70],"for":[71,253],"year,":[73],"there":[74],"no":[76],"application":[77],"to":[78,93,97,111,160,186,193,195,238],"determine":[79],"system.":[84,114,241],"In":[85],"general,":[86],"aim":[88],"this":[90],"identify":[94,112],"predict":[98,197],"behaviour":[100],"ground":[102,162,189,266],"source":[103,163,267],"Several":[107],"models":[108,157],"applied":[110,159],"After":[115],"applying":[116],"those":[117],"they":[119],"compared.":[121],"model":[123,144,179,254],"with":[124,168],"best":[126,137],"performance":[127],"Hammerstein-Wiener":[130,170],"model.":[131,171],"selection":[133],"criteria":[134],"fit,":[138],"parameter":[139],"estimation,":[140],"validation":[141],"structure":[146],"dynamic":[148],"Models":[150],"on":[152,156],"networks":[154],"compared":[167],"Overall,":[172],"main":[174],"an":[177,215],"identified":[178],"GSHP":[181],"short":[182],"helical":[183],"exchanger":[185],"analyze":[187],"temperature":[190,219],"field":[191],"help":[194],"better":[196],"amount":[199],"energy":[202],"from":[203,250],"ground.":[205],"output":[208,211],"simulated":[210],"compared,":[213],"error":[216],"calculated.":[217],"record":[220],"each":[222],"hour":[223],"one":[225],"cell":[226],"arrays":[231,243],"5634":[233],"used":[237,249],"implement":[239],"Also":[242],"4000":[245],"cells":[247],"total":[251],"validation.":[255],"proposed":[257],"analysis":[260],"may":[261],"be":[262],"useful":[263],"developing":[265],"systems.":[270]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}