Universal Thermal Modeling for Residential Buildings

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Explore a comprehensive Universal Thermal Modeling Framework addressing global energy challenges through predictive indoor temperature dynamics. This workshop delves into hybrid physics-informed machine learning methodologies, optimizing temperature modeling across diverse climate zones. Leveraging the CityLearn dataset, we analyze dynamic thermal trends with scalable equations, supported by evaluation metrics for robust insights. Uncover experimental findings related to generalization,...