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Monday, December 28, 2020

Making Smart Thermostats More Efficient

 Beyond the simplest adaptable method.

Making Smart Thermostats More Efficient

MIT News

Researchers from the Massachusetts Institute of Technology (MIT) and Russia's Skolkovo Institute of Science and Technology (Skoltech) collaborated on the design of a smart thermostat that uses data-efficient algorithms to learn optimal temperature thresholds within seven days. The thermostat's algorithms use reinforcement learning and are event-triggered, making decisions only in response to events defined by specific conditions reaching a threshold. Skoltech's Henni Ouerdane said, "A learning thermostat can potentially learn how to adjust its set-point temperatures in coordination with other HVAC devices, or based on its prediction of electricity tariffs in order to save energy and cost."

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