Deep learning cuts costs in building control

American buildings consume roughly 40 percent of U.S. energy, much of which is expended on heating, cooling, and ventilation. Enhanced control methods can help reduce energy consumption. Model Predictive Control (MPC) has shown potential for substantially reducing energy use in buildings. However, it has not been widely adopted due to a number of implementation challenges.

from News on Artificial Intelligence and Machine Learning https://ift.tt/3dq5TkR

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