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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 Thermostat is built around an operating system that allows interaction with the thermostat via spinning and clicking of its control wheel (or swiping and tapping on the 2020 Nest Thermostat), which brings up option menus for switching from heating to cooling, access to device settings, energy history, and scheduling.
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Energy savings were calculated relative to a constant temperature of 22 °C (72 °F). Upon conducting this model, ecobee determined a 23% savings on heating and cooling costs for those who switch to their smart thermostat. [19] Using a similar modeling method, Nest claimed a 20% energy savings for homeowners who install a Nest Learning Thermostat.
The project was started as a Python application by Paulus Schoutsen in September 2013 and first published publicly on GitHub in November 2013. [24]In July 2017, a managed operating system called Hass.io was initially introduced to make it easier to use Home Assistant on single-board computers like the Raspberry Pi series.
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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 Google Search homepage [44] had a link to the CADIE announcement, [45] stating that "For several years now a small research group has been working on some challenging problems in the areas of neural networking, natural language and autonomous problem-solving. Last fall this group achieved a significant breakthrough: a powerful new technique ...