Tag: machine learning
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Predicting the Wind – Janne’s Journey from ETH to Chalmers
This week, we talk with Janne, a visiting masters student at the Sustainable Built Environments research area at Chalmers University. Janne is currently completing his MSc in Integrated Building Systems at ETH Zürich and joined the team through an IDEA League research exchange. His project applies machine learning to predict urban wind patterns, and we sat
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Interview with Xinyue on her research visit at the University of Washington
We recently caught up with Xinyue about her research visit at the University of Washington. During her stay, she explored innovative machine learning methods to enhance building sustainability—not only in terms of energy efficiency but also in indoor air quality and urban energy dynamics. In this interview, Xinyue discusses her motivation for the visit, insights
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Xinyue has defended her licentiate thesis
On June 10th, Xinyue Wang presented at her Licentiate seminar defending her thesis entitled ‘Towards Machine Learning Application in Early-Stage Building Energy Optimization’. Her thesis discusses how to develop a machine learning building energy prediction model to substitute the traditional simulation engines in early stage optimization workflow for higher efficiency. Professor Paul Sheperd, from the University
Sustainable Built Environments 