{"id":"https://openalex.org/W4408381961","doi":"https://doi.org/10.1177/14727978251321733","title":"Optimization method for energy consumption prediction of campus buildings based on Bayesian theory","display_name":"Optimization method for energy consumption prediction of campus buildings based on Bayesian theory","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4408381961","doi":"https://doi.org/10.1177/14727978251321733"},"language":"en","primary_location":{"id":"doi:10.1177/14727978251321733","is_oa":true,"landing_page_url":"https://doi.org/10.1177/14727978251321733","pdf_url":"https://journals.sagepub.com/doi/pdf/10.1177/14727978251321733","source":{"id":"https://openalex.org/S2765058733","display_name":"Journal of Computational Methods in Sciences and Engineering","issn_l":"1472-7978","issn":["1472-7978","1875-8983"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Computational Methods in Sciences and Engineering","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://journals.sagepub.com/doi/pdf/10.1177/14727978251321733","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5042125649","display_name":"Chi Zhao","orcid":"https://orcid.org/0000-0002-1051-8386"},"institutions":[{"id":"https://openalex.org/I4210105569","display_name":"Jiangsu Vocational Institute of Architectural Technology","ror":"https://ror.org/01d4y8v03","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210105569"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Chi Zhao","raw_affiliation_strings":["Jiangsu Vocational Institute of Architectural Technology","School of Architectural Decoration, Jiangsu Vocational Institute of Architectural Technology, Xuzhou, China"],"affiliations":[{"raw_affiliation_string":"Jiangsu Vocational Institute of Architectural Technology","institution_ids":["https://openalex.org/I4210105569"]},{"raw_affiliation_string":"School of Architectural Decoration, Jiangsu Vocational Institute of Architectural Technology, Xuzhou, China","institution_ids":["https://openalex.org/I4210105569"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5042125649"],"corresponding_institution_ids":["https://openalex.org/I4210105569"],"apc_list":null,"apc_paid":null,"fwci":1.0328,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.73007102,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"25","issue":"1","first_page":"863","last_page":"875"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10121","display_name":"Building Energy and Comfort Optimization","score":0.9922000169754028,"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":0.9922000169754028,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.6398129463195801},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6334899663925171},{"id":"https://openalex.org/keywords/energy-consumption","display_name":"Energy consumption","score":0.5094500184059143},{"id":"https://openalex.org/keywords/consumption","display_name":"Consumption (sociology)","score":0.4716039299964905},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3489302396774292},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.11225539445877075},{"id":"https://openalex.org/keywords/sociology","display_name":"Sociology","score":0.05213692784309387}],"concepts":[{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.6398129463195801},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6334899663925171},{"id":"https://openalex.org/C2780165032","wikidata":"https://www.wikidata.org/wiki/Q16869822","display_name":"Energy consumption","level":2,"score":0.5094500184059143},{"id":"https://openalex.org/C30772137","wikidata":"https://www.wikidata.org/wiki/Q5164762","display_name":"Consumption (sociology)","level":2,"score":0.4716039299964905},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3489302396774292},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.11225539445877075},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.05213692784309387},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1177/14727978251321733","is_oa":true,"landing_page_url":"https://doi.org/10.1177/14727978251321733","pdf_url":"https://journals.sagepub.com/doi/pdf/10.1177/14727978251321733","source":{"id":"https://openalex.org/S2765058733","display_name":"Journal of Computational Methods in Sciences and Engineering","issn_l":"1472-7978","issn":["1472-7978","1875-8983"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Computational Methods in Sciences and Engineering","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1177/14727978251321733","is_oa":true,"landing_page_url":"https://doi.org/10.1177/14727978251321733","pdf_url":"https://journals.sagepub.com/doi/pdf/10.1177/14727978251321733","source":{"id":"https://openalex.org/S2765058733","display_name":"Journal of Computational Methods in Sciences and Engineering","issn_l":"1472-7978","issn":["1472-7978","1875-8983"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Computational Methods in Sciences and Engineering","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4408381961.pdf"},"referenced_works_count":20,"referenced_works":["https://openalex.org/W2739939493","https://openalex.org/W2761146210","https://openalex.org/W2922413103","https://openalex.org/W2937535234","https://openalex.org/W2965002220","https://openalex.org/W3049584702","https://openalex.org/W3099138017","https://openalex.org/W3122065728","https://openalex.org/W3128735821","https://openalex.org/W3136282444","https://openalex.org/W3179023486","https://openalex.org/W3195348523","https://openalex.org/W3202441821","https://openalex.org/W4211047854","https://openalex.org/W4225275697","https://openalex.org/W4285092337","https://openalex.org/W4313229425","https://openalex.org/W4322013121","https://openalex.org/W4384432070","https://openalex.org/W4389120795"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"Education":[0],"rapid":[1],"developing":[2],"has":[3,167],"led":[4],"to":[5,22,43,61,97,183],"an":[6,45,71],"increasing":[7],"scale":[8],"of":[9,83,112,121,204],"buildings":[10,123],"in":[11,14,18,52,116,139,172],"universities,":[12],"resulting":[13],"a":[15,31,38],"significant":[16],"increase":[17],"energy":[19,28,50,67,72,118,149,178,193],"consumption.":[20,179,194],"How":[21],"predict":[23],"and":[24,63,70,99,103,110,127,144,161,170,174,187,199,207],"optimize":[25],"campus":[26,53,65,122,176,191],"building":[27,66,177,192],"consumption":[29,51,68,73,119,150],"is":[30],"hot":[32],"research":[33,181],"topic.":[34],"Based":[35],"on":[36],"this,":[37],"Bayesian":[39,114,156,165],"theory":[40],"was":[41,76,86],"used":[42,60,96],"construct":[44],"optimization":[46,104],"model":[47,64,75,101],"for":[48,189,201],"predicting":[49,173,190],"buildings.":[54],"Firstly,":[55],"data":[56,94],"mining":[57],"techniques":[58],"were":[59],"analyze":[62,100],"data,":[69],"prediction":[74,102,115,151,157,166],"established.":[77],"Then,":[78],"the":[79,92,135,147,202],"practical":[80],"application":[81],"effect":[82],"this":[84,113,155],"method":[85],"evaluated":[87],"through":[88],"experimental":[89],"verification.":[90],"Finally,":[91],"actual":[93],"are":[95,124,131,158],"test":[98],"performance.":[105],"The":[106],"average":[107,148],"accuracy,":[108],"recall,":[109],"error":[111],"extracting":[117],"features":[120],"89.63%,":[125],"92.46%,":[126],"13.86%,":[128],"respectively,":[129],"which":[130],"significantly":[132],"higher":[133],"than":[134],"comparison":[136],"algorithms.":[137],"And":[138],"office":[140],"buildings,":[141,143,146],"mixed":[142],"dormitory":[145],"errors":[152],"optimized":[153],"by":[154],"10.16%,":[159],"6.95%,":[160],"11.26%,":[162],"respectively.":[163],"This":[164,180],"high":[168],"accuracy":[169],"reliability":[171],"optimizing":[175],"aims":[182],"provide":[184],"technical":[185],"support":[186],"guidance":[188,200],"It":[195],"provides":[196],"useful":[197],"reference":[198],"construction":[203],"low-carbon,":[205],"green,":[206],"sustainable":[208],"development.":[209]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-12-19T19:40:27.379048","created_date":"2025-10-10T00:00:00"}
