Smart thermostat
In 2011, Nest Labs developed the Nest Learning Thermostat. 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. These technologies learn the behaviors and preferences of the occupants, and adjust the temperature up or down to make the occupant comfortable when they are home and to save energy when they are away. Additionally, the Nest Thermostat connects to the home Wi-Fi. This allows users to change the temperature, adjust the schedule, and check energy usage from a smartphone or laptop. All of these features were part of Nest's goal to create an easy to use thermostat that saves users energy and money.
Nest Learning Thermostat
The Nest Thermostat is built around an operating system that allows interaction with the thermostat via spinning and clicking of its control wheel, which brings up option menus for switching from heating to cooling, access to device settings, energy history, and scheduling. Users can control Nest without a touch screen or other input device
. As the thermostat is connected to the Internet, the company can push updates to fix bugs, improve performance and add additional features. For updates to occur automatically, the thermostat must be connected to Wi‑Fi and the battery must have at least a 3.7 V charge to give enough power to complete the download and installation of the update.