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2. Development of data-driven thermal sensation prediction model using quality-controlled databases
3. Predicting the clothing insulation through machine learning algorithms: A comparative analysis and a practical approach
4. Assessing the energy saving potential of using adaptive setpoint temperatures: The case study of a regional adaptive comfort model for Brazil in both the present and the future
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