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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 gas savings for manual thermostat replacements (10% per thermostat) was found to be larger than for programmable thermostat replacements (8% per thermostat). The difference in electricity savings between homes whose prior equipment was a manual thermostat or programmable thermostat was found to be minimal. [1]
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.
English: RL nest. The picture shows an RL nest (sticks) bound to a carbonyl oxygen (sphere) by hydrogen bonding (dots). For the first two nest residues (I and i+1) the mainchain atoms are shown and for the third residue only (i+2) the mainchain nitrogen is shown. Hydrogens are omitted.
They divide the nest using walls of grass placed atop a base of large sticks. At the entrances to the nest, sharp sticks are placed to ward off intruders. [4] A single communal site can measure 2 metres (6.6 ft) in height and 8 metres (26 ft) in width. As many as 300 mating pairs may reside in the structure. [5]