Frozen-weather models undercount cooling energy demand by up to 79%, masking a refrigerant surge that hits hot countries ...
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 research aims to develop predictive models to estimate building energy accurately. Three commonly used artificial intelligence techniques were chosen to develop a new building energy estimation ...
Urban environments influence the global energy and emissions landscape, accounting for approximately 75% of anthropogenic COâ‚‚ emissions and 78% of total energy consumption, while occupying less than 2 ...
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 ...
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 ...
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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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