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This article presents a physics-based autoregressive moving average (ARMAX) model for predicting room temperature in office buildings, validated through extensive measurements over 109 days. The model demonstrates high accuracy with a mean squared error of less than 0.01 and a coefficient of determination greater than 0.99, making it suitable for real-time fault detection and control applications in HVAC systems. The research highlights the importance of accurate modeling in reducing energy consumption in H
- Author
- 康庄
- Language
- EN