A Method for Predicting Indoor CO2 Concentration in University Classrooms: An RF-TPE-LSTM Approach
Zhicheng Dai,
Ying Yuan,
Xiaoliang Zhu
et al.
Abstract:Classrooms play a pivotal role in students’ learning, and maintaining optimal indoor air quality is crucial for their well-being and academic performance. Elevated CO2 levels can impair cognitive abilities, underscoring the importance of accurate predictions of CO2 concentrations. To address the issue of inadequate analysis of factors affecting classroom CO2 levels in existing models, leading to suboptimal feature selection and limited prediction accuracy, we introduce the RF-TPE-LSTM model in this study. Our … Show more
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