To improve prediction accuracy and interpretability in heating, ventilation, and air conditioning (HVAC) energy forecasting, this study develops an interpretable stacking ensemble framework for fan power consumption prediction in smart building energy systems. The model integrates LightGBM, XGBoost, random forest, and...
Jia-Rui Yang, Bin Xia· International Journal on Sem...· 0 citations
The experimental results showed that, compared with the conventional data-driven model, PI-ATBiLSTM reduced the average root mean square error, mean absolute error and mean absolute percentage error by 60.92%, 60.83% and 62.50%, respectively.
Ya-Peng Yang, Jia-Rui Yang, Xing-Zhou Chen et al.· Proceedings of the Instituti...· 0 citations
The subject of the research is conceptual lacunae that arise when transferring Russian culturally marked units into Chinese, as well as the compensation strategies employed by translators in different historical periods. The object of the study comprises fragments of M. A. Bulgakov’s novel The Master and Margarita and...
UniRec is proposed, a unified space learning framework that achieves deep alignment through a hierarchical space transformation path: language space → collaborative space → real space and is optimized for large-scale applications.
Jia-Rui Yang, Jun-Mei Feng, Yihan Zhang et al.· ACM Transactions on Informat...· 0 citations
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