Advancing ensemble learning techniques for residential building electricity consumption forecasting: Insight from explainable artificial intelligence

• Jihoon Moon ,

  Contributed equally to this work with: Jihoon Moon, Muazzam Maqsood

  Roles Conceptualization, Data curation, Formal analysis, Methodology, Writing – original draft

  Affiliations Department of AI and Big Data, Soonchunhyang University, Asan, Republic of Korea, Department of ICT Convergence, Soonchunhyang University, Asan, Republic of Korea

  https://orcid.org/0000-0001-9524-5729

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• Muazzam Maqsood ,

  Contributed equally to this work with: Jihoon Moon, Muazzam Maqsood

  Roles Formal analysis, Investigation, Methodology, Supervision, Validation

  Affiliation Department of Computer Science, COMSATS University Islamabad, Attock Campus, Attock, Pakistan

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• Dayeong So,

  Roles Methodology, Software

  Affiliation Department of ICT Convergence, Soonchunhyang University, Asan, Republic of Korea

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• Sung Wook Baik,

  Roles Investigation, Methodology, Supervision

  Affiliation Sejong University, Seoul, Republic of Korea

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• Seungmin Rho ,

  Roles Investigation, Project administration, Software, Supervision, Visualization

  * E-mail: smrho@cau.ac.kr (SR); ynam@sch.ac.kr (YN)

  Affiliation Department of Industrial Security, Chung-Ang University, Seoul, Republic of Korea

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• Yunyoung Nam

  Roles Funding acquisition, Investigation, Supervision, Validation, Writing – review & editing

  * E-mail: smrho@cau.ac.kr (SR); ynam@sch.ac.kr (YN)

  Affiliations Department of ICT Convergence, Soonchunhyang University, Asan, Republic of Korea, Department of Computer Science and Engineering, Soonchunhyang University, Asan, Republic of Korea

  https://orcid.org/0000-0002-3318-9394

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