View in EDS HTML Full Text PDF Full Text

Enhancing the prediction of heating and cooling loads in residential buildings using explainable XGBoost: a comparative analysis of SHAP and LIME techniques.

Saved in:
Bibliographic Details
Title: Enhancing the prediction of heating and cooling loads in residential buildings using explainable XGBoost: a comparative analysis of SHAP and LIME techniques.
Authors: Alizamir, Meysam1,2, meysamalizamir@duytan.edu.vn, Kim, Sungwon3, Heddam, Salim4, Gholampour, Aliakbar5, Moon, Hyounseok6, hsmoon@kict.re.kr
Source: Artificial Intelligence Review; Apr2026, Vol. 59 Issue 4, p1-61, 61p
Database: Applied Science & Technology Source
Full text is not displayed to guests.
FullText Links:
  – Type: pdflink
Text:
  Availability: 1
Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 192331995
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Enhancing the prediction of heating and cooling loads in residential buildings using explainable XGBoost: a comparative analysis of SHAP and LIME techniques.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AU" term="%22Alizamir%2C+Meysam%22">Alizamir, Meysam</searchLink><relatesTo>1,2</relatesTo>, <i>meysamalizamir@duytan.edu.vn</i><br /><searchLink fieldCode="AU" term="%22Kim%2C+Sungwon%22">Kim, Sungwon</searchLink><relatesTo>3</relatesTo><br /><searchLink fieldCode="AU" term="%22Heddam%2C+Salim%22">Heddam, Salim</searchLink><relatesTo>4</relatesTo><br /><searchLink fieldCode="AU" term="%22Gholampour%2C+Aliakbar%22">Gholampour, Aliakbar</searchLink><relatesTo>5</relatesTo><br /><searchLink fieldCode="AU" term="%22Moon%2C+Hyounseok%22">Moon, Hyounseok</searchLink><relatesTo>6</relatesTo>, <i>hsmoon@kict.re.kr</i>
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22Artificial+Intelligence+Review%22">Artificial Intelligence Review</searchLink>; Apr2026, Vol. 59 Issue 4, p1-61, 61p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=192331995
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1007/s10462-026-11521-w
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 61
        StartPage: 1
    Titles:
      – TitleFull: Enhancing the prediction of heating and cooling loads in residential buildings using explainable XGBoost: a comparative analysis of SHAP and LIME techniques.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Alizamir, Meysam
      – PersonEntity:
          Name:
            NameFull: Kim, Sungwon
      – PersonEntity:
          Name:
            NameFull: Heddam, Salim
      – PersonEntity:
          Name:
            NameFull: Gholampour, Aliakbar
      – PersonEntity:
          Name:
            NameFull: Moon, Hyounseok
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 04
              Text: Apr2026
              Type: published
              Y: 2026
          Identifiers:
            – Type: issn-print
              Value: 02692821
          Numbering:
            – Type: volume
              Value: 59
            – Type: issue
              Value: 4
          Titles:
            – TitleFull: Artificial Intelligence Review
              Type: main
ResultId 1