New paper on Machine Learning and IAQ

Machine learning seems to be everywhere these days. But how does it perform in predicting indoor air quality or sleep quality in individuals? Our new paper led by Hagen Fritz and Mengjia Tang explores common algorithms and their performance for this task.

Evaluating machine learning models to classify occupants’ perceptions of their indoor environment and sleep quality from indoor air quality

Check it out:

Zoltan Nagy
Zoltan Nagy
Assistant Professor

My research interests include reinforcement learning for buildings and smart cities.