Meet the authors: Zixin Jiang and Bing Dong

Abstract

What can we do to mitigate climate change and achieve carbon neutrality for buildings? In their recent publication in Patterns, the authors proposed a modularized neural network incorporating physical priors for future building energy modeling, paving the way for scalable and reliable building energy modeling, optimization, retrofit designs, and buildings-to-grid integration. In this interview, the authors talk about incorporating fundamental heat transfer and thermodynamics knowledge into data-driven models.