Novel deep neural network architecture fusion to simultaneously predict short-term and long-term energy consumption

Abrar Ahmed; Safdar Ali; Ali Raza; Ibrar Hussain; Ahmad Bilal; Norma Latif Fitriyani; Yeonghyeon Gu; Muhammad Syafrudin

doi:10.1371/journal.pone.0315668

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Open Access

Peer-reviewed

Research Article

Novel deep neural network architecture fusion to simultaneously predict short-term and long-term energy consumption

Abrar Ahmed,

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

Affiliation Department of Software Engineering, University of Lahore, Lahore, Pakistan
⨯
Safdar Ali,

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

Affiliation Department of Software Engineering, University of Lahore, Lahore, Pakistan
⨯
Ali Raza,

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

Affiliation Department of Software Engineering, University of Lahore, Lahore, Pakistan
⨯
Ibrar Hussain,

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

Affiliations Department of Software Engineering, University of Lahore, Lahore, Pakistan, Faculty of Engineering & Information Technology, Shinawatra University, Bangtoey Samkhok, Pathum Thani, Thailand
⨯
Ahmad Bilal,

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

Affiliation Department of Software Engineering, University of Lahore, Lahore, Pakistan
⨯
Norma Latif Fitriyani,

Roles Conceptualization, Formal analysis, Methodology, Software, Visualization, Writing – review & editing

Affiliation Department of Artificial Intelligence and Data Science, Sejong University, Seoul, Republic of Korea
⨯
Yeonghyeon Gu ,

Roles Conceptualization, Funding acquisition, Methodology, Supervision, Writing – review & editing

* E-mail: yhgu@sejong.ac.kr (YG); udin@sejong.ac.kr (MS)

Affiliation Department of Artificial Intelligence and Data Science, Sejong University, Seoul, Republic of Korea

https://orcid.org/0000-0002-0002-9386

⨯
Muhammad Syafrudin

Roles Conceptualization, Formal analysis, Funding acquisition, Methodology, Supervision, Visualization, Writing – review & editing

* E-mail: yhgu@sejong.ac.kr (YG); udin@sejong.ac.kr (MS)

Affiliation Department of Artificial Intelligence and Data Science, Sejong University, Seoul, Republic of Korea

https://orcid.org/0000-0002-5640-4413

⨯

Novel deep neural network architecture fusion to simultaneously predict short-term and long-term energy consumption

Abrar Ahmed,
Safdar Ali,
Ali Raza,
Ibrar Hussain,
Ahmad Bilal,
Norma Latif Fitriyani,
Yeonghyeon Gu,
Muhammad Syafrudin

Published: January 7, 2025
https://doi.org/10.1371/journal.pone.0315668

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