{"id":"https://openalex.org/W4390483339","doi":"https://doi.org/10.1109/ssci52147.2023.10371897","title":"Evolved Neural Networks for Building Energy Prediction","display_name":"Evolved Neural Networks for Building Energy Prediction","publication_year":2023,"publication_date":"2023-12-05","ids":{"openalex":"https://openalex.org/W4390483339","doi":"https://doi.org/10.1109/ssci52147.2023.10371897"},"language":"en","primary_location":{"id":"doi:10.1109/ssci52147.2023.10371897","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ssci52147.2023.10371897","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE Symposium Series on Computational Intelligence (SSCI)","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/A5034080501","display_name":"Roberto Santana","orcid":"https://orcid.org/0000-0002-1005-8535"},"institutions":[{"id":"https://openalex.org/I169108374","display_name":"University of the Basque Country","ror":"https://ror.org/000xsnr85","country_code":"ES","type":"education","lineage":["https://openalex.org/I169108374"]}],"countries":["ES"],"is_corresponding":true,"raw_author_name":"Roberto Santana","raw_affiliation_strings":["Intelligent Systems Group, University of the Basque Country (UPV/EHU),San Sebastian,Spain","Intelligent Systems Group, University of the Basque Country (UPV/EHU), San Sebastian, Spain"],"affiliations":[{"raw_affiliation_string":"Intelligent Systems Group, University of the Basque Country (UPV/EHU),San Sebastian,Spain","institution_ids":["https://openalex.org/I169108374"]},{"raw_affiliation_string":"Intelligent Systems Group, University of the Basque Country (UPV/EHU), San Sebastian, Spain","institution_ids":["https://openalex.org/I169108374"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018570315","display_name":"Irati Prol-Godoy","orcid":"https://orcid.org/0000-0001-9317-9764"},"institutions":[{"id":"https://openalex.org/I169108374","display_name":"University of the Basque Country","ror":"https://ror.org/000xsnr85","country_code":"ES","type":"education","lineage":["https://openalex.org/I169108374"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Irati Prol-Godoy","raw_affiliation_strings":["Energy in Buildings Group, University of the Basque Country (UPV/EHU),Vitoria,Spain","Energy in Buildings Group, University of the Basque Country (UPV/EHU), Vitoria, Spain"],"affiliations":[{"raw_affiliation_string":"Energy in Buildings Group, University of the Basque Country (UPV/EHU),Vitoria,Spain","institution_ids":["https://openalex.org/I169108374"]},{"raw_affiliation_string":"Energy in Buildings Group, University of the Basque Country (UPV/EHU), Vitoria, Spain","institution_ids":["https://openalex.org/I169108374"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054475317","display_name":"Ana Picallo-P\u00e9rez","orcid":null},"institutions":[{"id":"https://openalex.org/I169108374","display_name":"University of the Basque Country","ror":"https://ror.org/000xsnr85","country_code":"ES","type":"education","lineage":["https://openalex.org/I169108374"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Ana Picallo-P\u00e9rez","raw_affiliation_strings":["Energy in Buildings Group, University of the Basque Country (UPV/EHU),Vitoria,Spain","Energy in Buildings Group, University of the Basque Country (UPV/EHU), Vitoria, Spain"],"affiliations":[{"raw_affiliation_string":"Energy in Buildings Group, University of the Basque Country (UPV/EHU),Vitoria,Spain","institution_ids":["https://openalex.org/I169108374"]},{"raw_affiliation_string":"Energy in Buildings Group, University of the Basque Country (UPV/EHU), Vitoria, Spain","institution_ids":["https://openalex.org/I169108374"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045973875","display_name":"I\u00f1aki Inza","orcid":"https://orcid.org/0000-0003-4674-1755"},"institutions":[{"id":"https://openalex.org/I169108374","display_name":"University of the Basque Country","ror":"https://ror.org/000xsnr85","country_code":"ES","type":"education","lineage":["https://openalex.org/I169108374"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"I\u00f1aki Inza","raw_affiliation_strings":["Intelligent Systems Group, University of the Basque Country (UPV/EHU),San Sebastian,Spain","Intelligent Systems Group, University of the Basque Country (UPV/EHU), San Sebastian, Spain"],"affiliations":[{"raw_affiliation_string":"Intelligent Systems Group, University of the Basque Country (UPV/EHU),San Sebastian,Spain","institution_ids":["https://openalex.org/I169108374"]},{"raw_affiliation_string":"Intelligent Systems Group, University of the Basque Country (UPV/EHU), San Sebastian, Spain","institution_ids":["https://openalex.org/I169108374"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5034080501"],"corresponding_institution_ids":["https://openalex.org/I169108374"],"apc_list":null,"apc_paid":null,"fwci":0.6304,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.67727241,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"801","last_page":"806"},"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/T11052","display_name":"Energy Load and Power Forecasting","score":0.9968000054359436,"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/T11954","display_name":"Energy Efficiency and Management","score":0.9613999724388123,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/hyperparameter","display_name":"Hyperparameter","score":0.7766189575195312},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7705949544906616},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.7327328324317932},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6591945886611938},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.585667073726654},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.5281978249549866},{"id":"https://openalex.org/keywords/variety","display_name":"Variety (cybernetics)","score":0.5271603465080261},{"id":"https://openalex.org/keywords/component","display_name":"Component (thermodynamics)","score":0.49592646956443787},{"id":"https://openalex.org/keywords/efficient-energy-use","display_name":"Efficient energy use","score":0.4257640242576599},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1476910412311554}],"concepts":[{"id":"https://openalex.org/C8642999","wikidata":"https://www.wikidata.org/wiki/Q4171168","display_name":"Hyperparameter","level":2,"score":0.7766189575195312},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7705949544906616},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.7327328324317932},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6591945886611938},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.585667073726654},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.5281978249549866},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.5271603465080261},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.49592646956443787},{"id":"https://openalex.org/C2742236","wikidata":"https://www.wikidata.org/wiki/Q924713","display_name":"Efficient energy use","level":2,"score":0.4257640242576599},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1476910412311554},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","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/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ssci52147.2023.10371897","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ssci52147.2023.10371897","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE Symposium Series on Computational Intelligence (SSCI)","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":0.8999999761581421}],"awards":[{"id":"https://openalex.org/G2356590197","display_name":null,"funder_award_id":"PID2019-104966GB-100,PID2022-137442NB-100","funder_id":"https://openalex.org/F4320321705","funder_display_name":"Eusko Jaurlaritza"}],"funders":[{"id":"https://openalex.org/F4320321705","display_name":"Eusko Jaurlaritza","ror":"https://ror.org/00pz2fp31"},{"id":"https://openalex.org/F4320323737","display_name":"Ministerio de Ciencia y Tecnolog\u00eda","ror":"https://ror.org/034900433"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W7322392","https://openalex.org/W1522301498","https://openalex.org/W1969885422","https://openalex.org/W2009086942","https://openalex.org/W2051607409","https://openalex.org/W2101234009","https://openalex.org/W2109042184","https://openalex.org/W2171658832","https://openalex.org/W2553303224","https://openalex.org/W2585502432","https://openalex.org/W2791629256","https://openalex.org/W2810979566","https://openalex.org/W2906697496","https://openalex.org/W2946547492","https://openalex.org/W2953959218","https://openalex.org/W3000398335","https://openalex.org/W3021900882","https://openalex.org/W3043685378","https://openalex.org/W3087524380","https://openalex.org/W3119569584","https://openalex.org/W3161570989","https://openalex.org/W3181822374","https://openalex.org/W3207924781","https://openalex.org/W3217470798","https://openalex.org/W4211076903","https://openalex.org/W4212774754","https://openalex.org/W4213308398","https://openalex.org/W4290990408","https://openalex.org/W4300717141","https://openalex.org/W4316021320","https://openalex.org/W4317838087","https://openalex.org/W4385190155","https://openalex.org/W6631190155","https://openalex.org/W6631943919","https://openalex.org/W6675354045","https://openalex.org/W6676279030","https://openalex.org/W6713134421","https://openalex.org/W6729956949","https://openalex.org/W6748587240","https://openalex.org/W6849292070"],"related_works":["https://openalex.org/W2140186469","https://openalex.org/W4390421286","https://openalex.org/W4280563792","https://openalex.org/W4389724018","https://openalex.org/W4318719684","https://openalex.org/W3183136280","https://openalex.org/W4318559728","https://openalex.org/W2775233965","https://openalex.org/W4360995913","https://openalex.org/W4387123727"],"abstract_inverted_index":{"Improving":[0],"buildings'":[1],"energy":[2,26,62,81,160],"efficiency":[3],"is":[4],"an":[5],"essential":[6],"component":[7],"in":[8,28,132],"the":[9,13,45,74,92,98,101,104,111,126,129,137],"efforts":[10],"for":[11,24,57,79,158],"reducing":[12],"carbon":[14],"footprint.":[15],"The":[16,83],"design":[17],"of":[18,44,50,60,76,85,103,106,119,128,139],"more":[19],"accurate":[20],"machine":[21,51,155],"learning":[22,52,156],"models":[23,38],"forecasting":[25],"use":[27,75],"buildings":[29],"can":[30,39,123],"help":[31],"to":[32,73,109,149],"reach":[33],"this":[34,66],"goal":[35],"since":[36],"these":[37],"be":[40,143],"integrated":[41],"as":[42],"part":[43],"management":[46],"systems.":[47],"A":[48],"variety":[49],"algorithms":[53],"have":[54],"been":[55],"used":[56],"different":[58],"classes":[59],"building":[61,80,159],"predictions":[63],"problems.":[64,162],"In":[65],"paper":[67],"we":[68],"investigate":[69],"two":[70],"questions":[71],"related":[72],"neural":[77,87,130,151],"networks":[78,131,152],"predictions:":[82],"benefits":[84],"optimized":[86],"network":[88],"configurations":[89],"that":[90,116,136],"include":[91],"architecture":[93],"and":[94,97,121,135],"some":[95,133],"hyperparameters,":[96],"impact":[99],"on":[100],"performance":[102],"amount":[105],"data":[107,141],"available":[108],"train":[110],"networks.":[112],"Our":[113],"results":[114],"show":[115],"combine":[117],"optimization":[118],"architectures":[120],"hyperparameters":[122],"significantly":[124],"improve":[125],"accuracy":[127],"problems":[134],"availability":[138],"training":[140],"should":[142],"taken":[144],"into":[145],"account":[146],"when":[147],"deciding":[148],"apply":[150],"over":[153],"other":[154],"methods":[157],"prediction":[161]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
