{"id":"https://openalex.org/W7220568554","doi":null,"title":"DEVELOPMENT OF A COOLING LOAD PREDICTION MODEL FOR OFFICE BUILDINGS OF BAYERO UNIVERSITY KANO","display_name":"DEVELOPMENT OF A COOLING LOAD PREDICTION MODEL FOR OFFICE BUILDINGS OF BAYERO UNIVERSITY KANO","publication_year":2021,"publication_date":"2021-12-13","ids":{"openalex":"https://openalex.org/W7220568554"},"language":"en","primary_location":{"id":"pmh:oai:journal-academia.com:article/309","doi":null,"is_oa":false,"landing_page_url":"https://journal-academia.com/Ojs/index.php/bimajst/article/view/309","pdf_url":null,"source":{"id":"https://openalex.org/S5407050445","display_name":"BIMA JOURNAL OF SCIENCE AND TECHNOLOGY GOMBE","issn_l":"3115-4662","issn":["3115-4662"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"3115-4662","raw_type":"info:eu-repo/semantics/article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":[],"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/A5086113242","display_name":"IBRAHIM USMAN HARUNA","orcid":"https://orcid.org/0000-0001-7070-1767","observed_orcids":["https://orcid.org/0000-0001-7070-1767"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"HARUNA, IBRAHIM USMAN","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054750103","display_name":"IBRAHIM AHMAD RUFAI","orcid":"https://orcid.org/0000-0001-7586-9948","observed_orcids":["https://orcid.org/0000-0001-7586-9948"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"RUFAI, IBRAHIM AHMAD","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5005489017","display_name":"D. B. Yahaya","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"YAHAYA, DALHATU BALARABE","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10121","display_name":"Building Energy and Comfort Optimization","score":1.0,"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":1.0,"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":0.0,"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/T11529","display_name":"Refrigeration and Air Conditioning Technologies","score":0.0,"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/cooling-load-prediction","display_name":"cooling load prediction","score":0.8519999980926514},{"id":"https://openalex.org/keywords/office-buildings","display_name":"office buildings","score":0.9509999752044678},{"id":"https://openalex.org/keywords/multiple-linear-regression","display_name":"multiple linear regression","score":0.8730000257492065},{"id":"https://openalex.org/keywords/taguchi-orthogonal-array","display_name":"Taguchi orthogonal array","score":0.996999979019165},{"id":"https://openalex.org/keywords/building-energy-simulation","display_name":"building energy simulation","score":0.5789999961853027},{"id":"https://openalex.org/keywords/thermal-comfort","display_name":"thermal comfort","score":0.906000018119812},{"id":"https://openalex.org/keywords/bayero-university-kano","display_name":"Bayero University Kano","score":0.9300000071525574}],"concepts":[{"id":"https://openalex.org/C2781099182","wikidata":"https://www.wikidata.org/wiki/Q24963825","display_name":"Cooling load","level":3,"score":0.6057000160217285},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.5720999836921692},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.5640000104904175},{"id":"https://openalex.org/C83469408","wikidata":"https://www.wikidata.org/wiki/Q2036525","display_name":"Taguchi methods","level":2,"score":0.5033000111579895},{"id":"https://openalex.org/C48921125","wikidata":"https://www.wikidata.org/wiki/Q10861030","display_name":"Linear regression","level":2,"score":0.40849998593330383},{"id":"https://openalex.org/C150921843","wikidata":"https://www.wikidata.org/wiki/Q1170431","display_name":"Resampling","level":2,"score":0.3840000033378601},{"id":"https://openalex.org/C196083921","wikidata":"https://www.wikidata.org/wiki/Q7915758","display_name":"Variance (accounting)","level":2,"score":0.35850000381469727},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.32739999890327454},{"id":"https://openalex.org/C200601418","wikidata":"https://www.wikidata.org/wiki/Q2193887","display_name":"Reliability engineering","level":1,"score":0.3237000107765198},{"id":"https://openalex.org/C163175372","wikidata":"https://www.wikidata.org/wiki/Q3339222","display_name":"Linear model","level":2,"score":0.3093999922275543},{"id":"https://openalex.org/C7694927","wikidata":"https://www.wikidata.org/wiki/Q7667810","display_name":"Water cooling","level":2,"score":0.30730000138282776},{"id":"https://openalex.org/C189474733","wikidata":"https://www.wikidata.org/wiki/Q917912","display_name":"Model building","level":2,"score":0.30410000681877136},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.30149999260902405},{"id":"https://openalex.org/C2778530916","wikidata":"https://www.wikidata.org/wiki/Q1352349","display_name":"Building model","level":2,"score":0.29409998655319214},{"id":"https://openalex.org/C76969082","wikidata":"https://www.wikidata.org/wiki/Q486902","display_name":"Mathematical model","level":2,"score":0.28139999508857727},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.2786000072956085},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.27810001373291016},{"id":"https://openalex.org/C45804977","wikidata":"https://www.wikidata.org/wiki/Q7239673","display_name":"Predictive modelling","level":2,"score":0.27630001306533813},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.2694999873638153}],"mesh":[],"locations_count":1,"locations":[{"id":"pmh:oai:journal-academia.com:article/309","doi":null,"is_oa":false,"landing_page_url":"https://journal-academia.com/Ojs/index.php/bimajst/article/view/309","pdf_url":null,"source":{"id":"https://openalex.org/S5407050445","display_name":"BIMA JOURNAL OF SCIENCE AND TECHNOLOGY GOMBE","issn_l":"3115-4662","issn":["3115-4662"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"3115-4662","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4206121441","https://openalex.org/W1169076056","https://openalex.org/W4232249581","https://openalex.org/W2945223169","https://openalex.org/W7008145401","https://openalex.org/W2022123797","https://openalex.org/W3206196543","https://openalex.org/W2905966407","https://openalex.org/W2525713079","https://openalex.org/W2907143905"],"abstract_inverted_index":{"Overestimation":[0],"of":[1,13,28,31,45,71,115,134,137],"building":[2,23,144],"cooling":[3,9,24,33],"load":[4,25,39],"results":[5],"into":[6],"an":[7],"oversized":[8],"system":[10],"with":[11,145],"consequentwaste":[12],"energy.":[14],"Conversely,":[15],"thermal":[16],"comfort":[17],"would":[18],"be":[19,129],"sacrificed":[20],"if":[21],"the":[22,29,46,56,69,82,98,101,108,112,116],"isunderestimated":[26],"because":[27],"use":[30],"undersized":[32],"system.":[34],"The":[35,75,89],"computer-based":[36],"methods":[37],"forcooling":[38],"calculation":[40],"are":[41,49],"costly":[42],"while":[43],"most":[44],"inverse":[47],"models":[48],"complex":[50],"and":[51,85,97,124,127],"requireenough":[52],"time":[53],"to":[54],"train":[55],"models.":[57],"In":[58],"this":[59],"paper,":[60],"a":[61],"simplified":[62],"multiple":[63],"linear":[64],"regression":[65],"model":[66,76,117,120],"wasdeveloped":[67],"using":[68,94],"concept":[70],"Taguchi":[72],"orthogonal":[73],"array.":[74],"developed":[77],"has":[78,121],"highperformance":[79],"based":[80],"on":[81],"computed":[83],"????2":[84],"variance":[86],"inflation":[87],"factor.":[88],"prediction":[90,125],"modeldeveloped":[91],"was":[92],"validated":[93],"resampling":[95],"technique":[96],"consistency":[99],"in":[100,106],"root":[102],"mean":[103],"squarederror":[104],"(RMSE)":[105],"all":[107],"holdout":[109],"samples":[110],"indicates":[111],"high":[113,122],"accuracy":[114],"developed.":[118],"Theproposed":[119],"inference":[123],"powers":[126],"could":[128],"used":[130],"for":[131],"predicting":[132],"coolingload":[133],"office":[135],"buildings":[136],"Bayero":[138],"University":[139],"Kano":[140],"(BUK)":[141],"or":[142],"any":[143],"similarcharacteristics.":[146]},"counts_by_year":[],"updated_date":"2026-10-07T09:51:55.459714","created_date":"2026-10-06T00:00:00"}