Buildings researchers at the Department of Energy's Pacific Northwest National Laboratory have released a new AI-driven, autonomous bot that could help speed up the energy modeling process for ...
Suppose you meet with an architect and ask her to design a building. You tell her the design you'd like, the size, and where it will be located. You might also specify the level of energy efficiency ...
This blog post was authored by Mo Elsayed Senior Associate and Senior Building Performance Analyst, Page; Jill Kurtz, LEED AP BD+ C, Principal and Director of Building Sciences, Page; and Justin ...
A new machine learning approach developed through an international collaboration between Polytechnic University of Milan and Drexel University could help architects and urban planners better predict ...
Net, a hybrid model that improves energy consumption prediction in low-energy buildings, enhancing accuracy and ...
Read more about Building energy codes could help Global South cities cut emissions and climate risk on Devdiscourse ...
Moving towards modernity implies questioning established concepts. Today, we are witnessing several projects and approaches in architecture that explore alternatives to energy-intensive building ...
Buildings are one of the largest contributors to global energy consumption. In 2025 they accounted for around 30% of total global energy demand, 70% of which came from residential buildings. But as ...
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