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Algorithm captures nonlinear climate dynamics to optimize air

Researchers have developed a new algorithmic model that can improve predictions of cooling demand for greener buildings. This kind of control will be a key factor in energy efficiency, allowing interior climate control systems to optimize cooling periods and so reduce energy demands.


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