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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.
Most programmable thermostats also have a hold feature which suspends the schedule and effectively turns the thermostat into a manual thermostat. [5] The idea of the scheduling feature is that users will set a warmer or cooler temperature when the home is unoccupied to save energy and money.
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.
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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.
Nest Mini in the Sky color on a nightstand A Nest Mini (2nd gen.) in charcoal. On October 15, 2019, Google unveiled a second-generation model of the Home Mini branded as the Google Nest Mini. It was released on October 22. The device is similar in design to the first-generation Home Mini with several small improvements.
A thermostat exerts control by switching heating or cooling devices on or off, or by regulating the flow of a heat transfer fluid as needed, to maintain the correct temperature. A thermostat can often be the main control unit for a heating or cooling system, in applications ranging from ambient air control to automotive coolant control.
The Ocean of Things project is a DARPA-led program designed to establish an Internet of things across large ocean areas for the purposes of collecting, monitoring, and analyzing environmental and vessel activity data. The project entails the deployment of about 50,000 floats that house a passive sensor suite that autonomously detect and track ...
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