{"id":"https://openalex.org/W2046488736","doi":"https://doi.org/10.1109/tsmcc.2011.2174983","title":"An Efficient Evolutionary Approach to Parameter Identification in a Building Thermal Model","display_name":"An Efficient Evolutionary Approach to Parameter Identification in a Building Thermal Model","publication_year":2011,"publication_date":"2011-12-15","ids":{"openalex":"https://openalex.org/W2046488736","doi":"https://doi.org/10.1109/tsmcc.2011.2174983","mag":"2046488736"},"language":"en","primary_location":{"id":"doi:10.1109/tsmcc.2011.2174983","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsmcc.2011.2174983","pdf_url":null,"source":{"id":"https://openalex.org/S4210227557","display_name":"IEEE Transactions on Systems Man and Cybernetics Part C (Applications and Reviews)","issn_l":"1094-6977","issn":["1094-6977","1558-2442"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews)","raw_type":"journal-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/A5100433323","display_name":"Zhenyu Yang","orcid":"https://orcid.org/0000-0002-0773-0298"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]},{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhenyu Yang","raw_affiliation_strings":["Department of Management Science and Engineering, College of Information Systems and Management, National University of Defense Technology, Changsha, China","Nature Inspired Computation and Applications Laboratory (NICAL), School of Computer Science and Technology, University of Science and Technology, Hefei, China"],"affiliations":[{"raw_affiliation_string":"Department of Management Science and Engineering, College of Information Systems and Management, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]},{"raw_affiliation_string":"Nature Inspired Computation and Applications Laboratory (NICAL), School of Computer Science and Technology, University of Science and Technology, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100418692","display_name":"Xiaoli Li","orcid":"https://orcid.org/0000-0003-1359-5130"},"institutions":[{"id":"https://openalex.org/I79619799","display_name":"University of Birmingham","ror":"https://ror.org/03angcq70","country_code":"GB","type":"education","lineage":["https://openalex.org/I79619799"]},{"id":"https://openalex.org/I39333907","display_name":"Yanshan University","ror":"https://ror.org/02txfnf15","country_code":"CN","type":"education","lineage":["https://openalex.org/I39333907"]},{"id":"https://openalex.org/I4210128819","display_name":"Institute of Electrical Engineering","ror":"https://ror.org/033js6g46","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210128819"]},{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]}],"countries":["CN","GB"],"is_corresponding":false,"raw_author_name":"Xiaoli Li","raw_affiliation_strings":["Centre of Excellence for Research in Computational Intelligence and Applications (CERCIA), School of Computer Science, University of Birmingham, Birmingham, UK","Department of Automation, Institute of Electrical Engineering, Yanshan University, Qinhuangdao, China","National Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Centre of Excellence for Research in Computational Intelligence and Applications (CERCIA), School of Computer Science, University of Birmingham, Birmingham, UK","institution_ids":["https://openalex.org/I79619799"]},{"raw_affiliation_string":"Department of Automation, Institute of Electrical Engineering, Yanshan University, Qinhuangdao, China","institution_ids":["https://openalex.org/I39333907","https://openalex.org/I4210128819"]},{"raw_affiliation_string":"National Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China","institution_ids":["https://openalex.org/I25254941"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031431361","display_name":"Chris Bowers","orcid":"https://orcid.org/0000-0002-5076-512X"},"institutions":[{"id":"https://openalex.org/I79619799","display_name":"University of Birmingham","ror":"https://ror.org/03angcq70","country_code":"GB","type":"education","lineage":["https://openalex.org/I79619799"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"C. P. Bowers","raw_affiliation_strings":["Centre of Excellence for Research in Computational Intelligence and Applications (CERCIA), School of Computer Science, University of Birmingham, Birmingham, UK"],"affiliations":[{"raw_affiliation_string":"Centre of Excellence for Research in Computational Intelligence and Applications (CERCIA), School of Computer Science, University of Birmingham, Birmingham, UK","institution_ids":["https://openalex.org/I79619799"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026354578","display_name":"Thorsten Schnier","orcid":null},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]},{"id":"https://openalex.org/I79619799","display_name":"University of Birmingham","ror":"https://ror.org/03angcq70","country_code":"GB","type":"education","lineage":["https://openalex.org/I79619799"]}],"countries":["CN","GB"],"is_corresponding":false,"raw_author_name":"T. Schnier","raw_affiliation_strings":["Centre of Excellence for Research in Computational Intelligence and Applications (CERCIA), School of Computer Science, University of Birmingham, Birmingham, UK","Nature Inspired Computation and Applications Laboratory (NICAL), School of Computer Science and Technology, University of Science and Technology, Hefei, China"],"affiliations":[{"raw_affiliation_string":"Centre of Excellence for Research in Computational Intelligence and Applications (CERCIA), School of Computer Science, University of Birmingham, Birmingham, UK","institution_ids":["https://openalex.org/I79619799"]},{"raw_affiliation_string":"Nature Inspired Computation and Applications Laboratory (NICAL), School of Computer Science and Technology, University of Science and Technology, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021254405","display_name":"Ke Tang","orcid":"https://orcid.org/0000-0002-6236-2002"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ke Tang","raw_affiliation_strings":["Nature Inspired Computation and Applications Laboratory (NICAL), School of Computer Science and Technology, University of Science and Technology, Hefei, China"],"affiliations":[{"raw_affiliation_string":"Nature Inspired Computation and Applications Laboratory (NICAL), School of Computer Science and Technology, University of Science and Technology, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100635494","display_name":"Xin Yao","orcid":"https://orcid.org/0000-0001-8837-4442"},"institutions":[{"id":"https://openalex.org/I79619799","display_name":"University of Birmingham","ror":"https://ror.org/03angcq70","country_code":"GB","type":"education","lineage":["https://openalex.org/I79619799"]},{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN","GB"],"is_corresponding":false,"raw_author_name":"Xin Yao","raw_affiliation_strings":["Centre of Excellence for Research in Computational Intelligence and Applications (CERCIA), School of Computer Science, University of Birmingham, Birmingham, UK","Nature Inspired Computation and Applications Laboratory (NICAL), School of Computer Science and Technology, University of Science and Technology, Hefei, China"],"affiliations":[{"raw_affiliation_string":"Centre of Excellence for Research in Computational Intelligence and Applications (CERCIA), School of Computer Science, University of Birmingham, Birmingham, UK","institution_ids":["https://openalex.org/I79619799"]},{"raw_affiliation_string":"Nature Inspired Computation and Applications Laboratory (NICAL), School of Computer Science and Technology, University of Science and Technology, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5100433323"],"corresponding_institution_ids":["https://openalex.org/I126520041","https://openalex.org/I170215575"],"apc_list":null,"apc_paid":null,"fwci":3.4096,"has_fulltext":false,"cited_by_count":26,"citation_normalized_percentile":{"value":0.91648888,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"42","issue":"6","first_page":"957","last_page":"969"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10121","display_name":"Building Energy and Comfort Optimization","score":0.9983000159263611,"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":0.9983000159263611,"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/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9965999722480774,"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/T10998","display_name":"Heat Transfer and Optimization","score":0.9923999905586243,"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/genetic-programming","display_name":"Genetic programming","score":0.6742161512374878},{"id":"https://openalex.org/keywords/evolutionary-algorithm","display_name":"Evolutionary algorithm","score":0.6675848364830017},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.6541878581047058},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6355893611907959},{"id":"https://openalex.org/keywords/energy-consumption","display_name":"Energy consumption","score":0.5519933104515076},{"id":"https://openalex.org/keywords/fitness-function","display_name":"Fitness function","score":0.5375461578369141},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5178168416023254},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.5115552544593811},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.5112218856811523},{"id":"https://openalex.org/keywords/evolutionary-programming","display_name":"Evolutionary programming","score":0.4980897903442383},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.4843641221523285},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.472610741853714},{"id":"https://openalex.org/keywords/thermal","display_name":"Thermal","score":0.4691428542137146},{"id":"https://openalex.org/keywords/model-building","display_name":"Model building","score":0.44477200508117676},{"id":"https://openalex.org/keywords/system-identification","display_name":"System identification","score":0.41511788964271545},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.23902741074562073},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.22089970111846924},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2183409035205841},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.20309066772460938},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.1772284209728241},{"id":"https://openalex.org/keywords/ecology","display_name":"Ecology","score":0.13470453023910522},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.10031571984291077}],"concepts":[{"id":"https://openalex.org/C110332635","wikidata":"https://www.wikidata.org/wiki/Q629498","display_name":"Genetic programming","level":2,"score":0.6742161512374878},{"id":"https://openalex.org/C159149176","wikidata":"https://www.wikidata.org/wiki/Q14489129","display_name":"Evolutionary algorithm","level":2,"score":0.6675848364830017},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.6541878581047058},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6355893611907959},{"id":"https://openalex.org/C2780165032","wikidata":"https://www.wikidata.org/wiki/Q16869822","display_name":"Energy consumption","level":2,"score":0.5519933104515076},{"id":"https://openalex.org/C176066374","wikidata":"https://www.wikidata.org/wiki/Q629118","display_name":"Fitness function","level":3,"score":0.5375461578369141},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5178168416023254},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.5115552544593811},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.5112218856811523},{"id":"https://openalex.org/C121835503","wikidata":"https://www.wikidata.org/wiki/Q2596288","display_name":"Evolutionary programming","level":3,"score":0.4980897903442383},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4843641221523285},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.472610741853714},{"id":"https://openalex.org/C204530211","wikidata":"https://www.wikidata.org/wiki/Q752823","display_name":"Thermal","level":2,"score":0.4691428542137146},{"id":"https://openalex.org/C189474733","wikidata":"https://www.wikidata.org/wiki/Q917912","display_name":"Model building","level":2,"score":0.44477200508117676},{"id":"https://openalex.org/C119247159","wikidata":"https://www.wikidata.org/wiki/Q1366192","display_name":"System identification","level":3,"score":0.41511788964271545},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.23902741074562073},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.22089970111846924},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2183409035205841},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.20309066772460938},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.1772284209728241},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.13470453023910522},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.10031571984291077},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"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/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/tsmcc.2011.2174983","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsmcc.2011.2174983","pdf_url":null,"source":{"id":"https://openalex.org/S4210227557","display_name":"IEEE Transactions on Systems Man and Cybernetics Part C (Applications and Reviews)","issn_l":"1094-6977","issn":["1094-6977","1558-2442"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews)","raw_type":"journal-article"},{"id":"pmh:oai:wrap.eprints.org:3626","is_oa":false,"landing_page_url":"https://orcid.org/0000-0002-5076-512X","pdf_url":null,"source":{"id":"https://openalex.org/S4306400296","display_name":"Worcester Research and Publications (University of Worcester)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I808010","host_organization_name":"University of Worcester","host_organization_lineage":["https://openalex.org/I808010"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":null,"raw_type":"PeerReviewed"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.421.1943","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.421.1943","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cs.bham.ac.uk/~xin/papers/ThermalModel.pdf","raw_type":"text"},{"id":"pmh:oai:pure.atira.dk:openaire_cris_publications/df015c90-f315-4276-8074-a297bb25f7c7","is_oa":false,"landing_page_url":"https://research.birmingham.ac.uk/en/publications/df015c90-f315-4276-8074-a297bb25f7c7","pdf_url":null,"source":{"id":"https://openalex.org/S4306402634","display_name":"University of Birmingham Research Portal (University of Birmingham)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I79619799","host_organization_name":"University of Birmingham","host_organization_lineage":["https://openalex.org/I79619799"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Yang, Z, Li, X, Bowers, C, Schnier, T, Tang, K & Yao, X 2011, 'An Efficient Evolutionary Approach to Parameter Identification in a Building Thermal Model', IEEE Transactions on Systems, Man and Cybernetics, Part C. https://doi.org/10.1109/TSMCC.2011.2174983","raw_type":"article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","score":0.8999999761581421,"id":"https://metadata.un.org/sdg/7"}],"awards":[{"id":"https://openalex.org/G1023919524","display_name":null,"funder_award_id":", Grant","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1121271761","display_name":null,"funder_award_id":"Program","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1231421488","display_name":null,"funder_award_id":"under","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1934935867","display_name":null,"funder_award_id":"Engineering and Physical Sciences R","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"},{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2787196389","display_name":null,"funder_award_id":"EP/F033087/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3714347586","display_name":null,"funder_award_id":"U0835002","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G391238517","display_name":null,"funder_award_id":", and","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G468673860","display_name":"Advanced Analysis of Building Energy Performance using Computational Intelligence Approaches","funder_award_id":"EP/F062567/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"},{"id":"https://openalex.org/G5288479916","display_name":null,"funder_award_id":"61028009","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5588687285","display_name":"Genetically Evolving Models of Science","funder_award_id":"835002","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G645663373","display_name":null,"funder_award_id":"7th Framework","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G7254801400","display_name":null,"funder_award_id":"61175065","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7737484549","display_name":null,"funder_award_id":"247619","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G8051717526","display_name":null,"funder_award_id":"Grant","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G8346632801","display_name":null,"funder_award_id":"247619","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8452545418","display_name":null,"funder_award_id":"unknown","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"}],"funders":[{"id":"https://openalex.org/F4320320300","display_name":"European Commission","ror":"https://ror.org/00k4n6c32"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320334627","display_name":"Engineering and Physical Sciences Research Council","ror":"https://ror.org/0439y7842"},{"id":"https://openalex.org/F4320334897","display_name":"Natural Science Foundation of Anhui Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":48,"referenced_works":["https://openalex.org/W113919739","https://openalex.org/W621010661","https://openalex.org/W1490742179","https://openalex.org/W1492719496","https://openalex.org/W1515687272","https://openalex.org/W1595159159","https://openalex.org/W1708394971","https://openalex.org/W1879678483","https://openalex.org/W1971740294","https://openalex.org/W1976882338","https://openalex.org/W1995876846","https://openalex.org/W1997600725","https://openalex.org/W2001100124","https://openalex.org/W2007574305","https://openalex.org/W2009117146","https://openalex.org/W2010923900","https://openalex.org/W2012701167","https://openalex.org/W2017561014","https://openalex.org/W2021252908","https://openalex.org/W2025538662","https://openalex.org/W2040673981","https://openalex.org/W2044794377","https://openalex.org/W2070972695","https://openalex.org/W2093819527","https://openalex.org/W2094842522","https://openalex.org/W2099655666","https://openalex.org/W2099867968","https://openalex.org/W2107832762","https://openalex.org/W2110931161","https://openalex.org/W2117243480","https://openalex.org/W2117825288","https://openalex.org/W2121429049","https://openalex.org/W2131613989","https://openalex.org/W2137340504","https://openalex.org/W2145678332","https://openalex.org/W2151767444","https://openalex.org/W2152195021","https://openalex.org/W2155529731","https://openalex.org/W2156106639","https://openalex.org/W2158458634","https://openalex.org/W2162145193","https://openalex.org/W2163121678","https://openalex.org/W2169143828","https://openalex.org/W2911346016","https://openalex.org/W2925401400","https://openalex.org/W4293775970","https://openalex.org/W6629459566","https://openalex.org/W6674686537"],"related_works":["https://openalex.org/W2561856575","https://openalex.org/W1792573625","https://openalex.org/W1925901016","https://openalex.org/W4294725171","https://openalex.org/W2091246427","https://openalex.org/W1485885287","https://openalex.org/W2553277926","https://openalex.org/W2139799987","https://openalex.org/W1556450089","https://openalex.org/W4384024076"],"abstract_inverted_index":{"Thermal":[0],"models":[1,61,90],"of":[2,19,33,44,48,136],"buildings":[3,35],"are":[4,92,122],"often":[5,53,72],"used":[6,24],"to":[7,25,66,75,85],"identify":[8],"energy":[9,21],"savings":[10],"within":[11],"a":[12,16,134,144],"building.":[13],"Given":[14],"that":[15,20,91,121,129,160],"significant":[17],"proportion":[18],"is":[22,38,52,110,177],"typically":[23],"maintain":[26],"building":[27,64,186],"temperature,":[28],"establishing":[29],"the":[30,34,45,49,114,117,125,161,168,172],"optimal":[31],"control":[32],"thermal":[36,46,57,89,187],"system":[37],"important.":[39],"This":[40],"requires":[41],"an":[42,82,95,178],"understanding":[43],"dynamics":[47],"building,":[50],"which":[51,112],"obtained":[54],"from":[55,124],"physical":[56],"models.":[58,188],"However,":[59],"these":[60,70],"require":[62],"detailed":[63],"parameters":[65,127],"be":[67,73],"specified":[68],"and":[69,128,151,171],"can":[71],"difficult":[74],"determine.":[76],"In":[77,141],"this":[78,176],"paper,":[79],"we":[80],"propose":[81],"evolutionary":[83,100,149,154],"approach":[84],"parameter":[86,182],"identification":[87,183],"for":[88,181,184],"formulated":[93],"as":[94],"optimization":[96],"task.":[97],"A":[98,107],"state-of-the-art":[99,153],"algorithm,":[101,147],"i.e.,":[102],"SaNSDE+,":[103],"has":[104,164],"been":[105],"developed.":[106],"fitness":[108],"function":[109],"defined,":[111],"quantifies":[113],"difference":[115],"between":[116],"energy-consumption":[118],"time-series":[119],"data":[120],"derived":[123],"identified":[126],"given":[130],"by":[131],"simulation":[132],"with":[133,143],"set":[135],"predetermined":[137],"target":[138],"model":[139],"parameters.":[140],"comparison":[142],"conventional":[145],"genetic":[146],"fast":[148],"programming,":[150],"two":[152],"algorithms,":[155],"our":[156],"experimental":[157],"results":[158],"show":[159],"proposed":[162],"SaNSDE+":[163],"significantly":[165],"improved":[166],"both":[167],"solution":[169],"quality":[170],"convergence":[173],"speed,":[174],"suggesting":[175],"effective":[179],"tool":[180],"simulated":[185]},"counts_by_year":[{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":4},{"year":2014,"cited_by_count":4},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-04-13T07:58:08.660418","created_date":"2025-10-10T00:00:00"}