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 ...
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 ...
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 ...
Scientists from Cornell University combined quantum computing with model predictive control to manage the energy of two PV-equipped university buildings. Compared to deterministic approaches, the ...
New figures show that if the model’s energy-intensive “chain of thought” reasoning gets added to everything, the promise of efficiency gets murky. In the week since a Chinese AI model called DeepSeek ...
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 ...
Client provides energy bills and base data on building and equipment at least two weeks prior to site visit. UD-BEC team analyzes data prior to site visit. UD-BEC team visits the site for one or two ...
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