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Google Nest GA05###-** Smart Thermostat

Google Nest GA05###-** Information

ThermostatGoogle Nest Google Nest Learning Thermostat
Model NumberGA05###-**
Root Product NameGoogle Nest GA05-
Additional Info,GA05169-US,; ,GA05171-US,; ,GA05551-US,; ,GA05557-US,; ,GA05560-US,; ,GJQ8U,
Brand OwnerGoogle LLC
Brand NameGoogle Nest
Model NameGoogle Nest Learning Thermosat
Sold InUnited States, Canada
Additional Device Model NumbersGJQ8U GA05169-US GA05171-US GA05551-US GA05557-US GA05560-US
Device Family IDFAM_1073133_042420242023161_3111631
UPC193575038469;193575038476;193575038483;193575038490;193575038506
Date On MarketAugust 6, 2024
Date QualifiedApril 24, 2024
Model IDES_1073133_GA05###-**_042320241603677_4143935
PD ID3462877

Thermostat Features

Static Temperature Accuracy (Deg. F)0.09
Time To Enter Standby After Interaction (seconds)20.4
Heating And Cooling FeaturesExternal Temperature Detection,Time of Day Usage,Geofencing (User Device Based),Humidity Sensing,Occupancy Sensor on Device
Demand Response SummaryGoogle Nest thermostats support a variety of Demand Response (DR) services, including dispatchable peak load management, and emergency (fast-response) dispatch. Nest offers a comprehensive DR solution in which Nest's cloud-based server acts as an OpenADR-compliant "Virtual End Node" for a DR signal from a Load Management Entity, and upon receipt of that signal executes customized DR algorithms on each participating device (as a "Virtual Top Node"). Devices can be grouped at the discretion of the Load Management Entity for locational dispatch. An API is available for direct integration with popular Demand Response Management Systems for dispatch. Comprehensive aggregated reporting is provided to the Load Management Entity for measurement and verification purposes, including load reduction estimates and the impact of device adjustments by interval. Google Nest's DR solutions are specifically designed to optimize participant satisfaction through the use of pre-conditioning (where applicable) and personalized schedule adjustments to ensure occupant comfort by limiting deviations from scheduled setpoints. In addition, the user can opt out any time. The algorithms are regularly updated and enhanced based on operational experience and user feedback.

Networking Features

Network Standby Average Power Consumption (watts)0.1
Communication MethodBluetooth,Other,Wi-Fi
Secondar Communication MethodThread

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