{"title":"A novel optimized hybrid machine learning model to enhance the prediction accuracy of hourly building energy consumption","authors":"Rajasekar Thota, Nidul Sinha","doi":"10.1080/15567036.2024.2374750","DOIUrl":null,"url":null,"abstract":"","PeriodicalId":11580,"journal":{"name":"Energy Sources, Part A: Recovery, Utilization, and Environmental Effects","volume":"32 2","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Energy Sources, Part A: Recovery, Utilization, and Environmental Effects","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1080/15567036.2024.2374750","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}