Utilizing the Kolmogorov-Arnold Networks for chiller energy consumption prediction in commercial building

• Main Authors: Mohd Herwan, Sulaiman, Zuriani, Mustaffa, Muhammad Salihin, Saealal, Mohd Mawardi, Saari, Abu Zaharin, Ahmad
• Format: Article
• Language: English; English
• Published: Elsevier Ltd 2024
• Subjects: TK Electrical engineering. Electronics Nuclear engineering
• Online Access: http://umpir.ump.edu.my/id/eprint/42921/1/Utilizing%20the%20Kolmogorov-Arnold%20Networks_ABST.pdf; http://umpir.ump.edu.my/id/eprint/42921/2/Utilizing%20the%20Kolmogorov-Arnold%20Networks.pdf; http://umpir.ump.edu.my/id/eprint/42921/; https://doi.org/10.1016/j.jobe.2024.110475; https://doi.org/10.1016/j.jobe.2024.110475
• Institution: Universiti Malaysia Pahang Al-Sultan Abdullah

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...