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The Nest Thermostat is a smart thermostat developed by Google Nest and designed by Tony Fadell, Ben Filson, and Fred Bould. [1] It is an electronic, programmable, and self-learning Wi-Fi -enabled thermostat that optimizes heating and cooling of homes and businesses to conserve energy.
The Nest Learning Thermostat is an electronic, programmable, and self-learning Wi-Fi-enabled thermostat that optimizes heating and cooling of homes and businesses to conserve energy. [43] It is based on a machine-learning algorithm: for the first weeks users have to regulate the thermostat in order to provide the reference data set.
The Nest Thermostat attempted to reduce home energy consumption by addressing the problems with programmable thermostats through the use of better technology. This new technology included the implementation of sensors, algorithms, machine learning, and cloud computing.
With the Google Nest Learning Thermostat you’ll not only be able to program how warm or cool you want your home during certain times of the day, but you can also let it program itself based on ...
Honeywell electronic thermostat in a store. Heating and cooling losses from a building (or any other container) become greater as the difference in temperature increases. A programmable thermostat allows reduction of these losses by allowing the temperature difference to be reduced at times when the reduced amount of heating or cooling would not be objectionable.
Portland General Electric's Smart Thermostat Program works by having the thermostat automatically lower, or "shift away from energy use", during peak hours of the day.
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