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A novel building flexibility potential assessment method based on hybrid CNN-GRU-Calda framework considering consumer psychology

Bibliographic Data

ID21232720
AuthorsWei Zhang (0000-0002-5458-9581, University of Shanghai for Science and Technology), Jie Wu (0000-0002-1389-6964, University of Shanghai for Science and Technology, corresponding author), Jiapeng Liu (0000-0003-1398-7134, University of Shanghai for Science and Technology)
Year2024
Volume104
Pages105298
Publication date2024-05-01
Open AccessYes
TypeARTICLE
VenueSustainable Cities and Society (JOURNAL)
Journal identifiersISSN: 2210-6707 • E-ISSN: 2210-6715
PublisherElsevier BV (PUBLISHER)
DOI10.1016/j.scs.2024.105298
OpenAlexW4392244933
LanguageEN
References cited35

Convolutional neural network · Energy consumption · Exploit · Industrial engineering · Machine learning · Building Energy and Comfort Optimization · Computer Science · Energy Load and Power Forecasting · Engineering · Smart Grid Energy Management · Artificial Intelligence

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    Open Access•Elnaz Azizi, Roya Ahmadiahangar et al.•Sustainable Cities and Society•2022

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    Open Access•Saeid Fatemi, Abbas Ketabi et al.•Sustainable Cities and Society•2023

  • Understanding heterogeneous consumer preferences for residential zero-energy buildings (ZEBs) in South Korea

    Open Access•Jihye Choi, Dohyeong Kee et al.•Sustainable Cities and Society•2023

Highly citedNo

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