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Are You Comfortable Now: Deep Learning the Temporal Variation in Thermal Comfort in Winters
Temporal variability in prediction accuracy is demonstrated (up to 80%).
Building Matters: Spatial Variability in Machine Learning Based Thermal Comfort Prediction in Winters
Generally, ML-based solutions are proposed for air-conditioned or HVAC ventilated buildings and the models are primarily designed for adults.
Multi-task Learning for Concurrent Prediction of Thermal Comfort, Sensation, and Preference
To the best of our knowledge, this work is the first application of Multi-task Learning to thermal comfort prediction in classrooms.
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