Optimal Temperature Control in Smart Buildings via Model Predictive Control

Energy used for building climate control makes up over half of all energy usage in the residential and commercial sector. In order to lower this consumption, researchers at Nanyang Technological University developed a way to accurately predict building temperatures to reduce energy usage. The design uses a Model Predictive Control-based optimal temperature controller, and also takes into account building dynamics, occupancy schedules and weather forecasts to predict future temperature states. Overall, this model has the ability to reduce energy usage in buildings by almost 30%.

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