Utilizing the Kolmogorov-Arnold Networks for chiller energy consumption prediction in commercial building
Accurate prediction of chiller energy consumption is essential for optimizing energy usage and reducing operational costs in commercial buildings. Traditional predictive methods often struggle to capture the complex, nonlinear relationships inherent in energy consumption data. This study proposes th...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier Ltd
2024
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| Online Access: | http://eprints.utem.edu.my/id/eprint/27833/2/0235519082024846141023.pdf http://eprints.utem.edu.my/id/eprint/27833/ https://www.sciencedirect.com/science/article/pii/S2352710224020436#:~:text=This%20study%20proposes%20the%20use,obtained%20from%20a%20commercial%20building. https://doi.org/10.1016/j.jobe.2024.110475 |
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