User-relocatable self-learning environmental control device capable of adapting previous learnings to current location in controlled environment

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United States of America Patent

PATENT NO 10678200
APP PUB NO 20180032043A1
SERIAL NO

15725739

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Abstract

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A control system may be configured to learn a heating schedule at a first location according to an automated schedule learning algorithm that processes inputs including user inputs and occupancy sensing inputs and derives schedule-affecting parameters therefrom that are processed to compute the control schedule. The control system may also be configured to determine whether a thermostat has been moved to a new location, and if it is determined that the thermostat has been moved to the new location, then determine one or more parameters associated with the new location and establish a new control schedule for the new location, where zero or more of the schedule-affecting parameters are re-used based on the one or more parameters associated with the new location.

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Patent Owner(s)

Patent OwnerAddress
GOOGLE LLCMOUNTAIN VIEW CA 94043

International Classification(s)

Inventor(s)

Inventor Name Address # of filed Patents Total Citations
Fadell, Anthony M Woodside, US 195 18887
Matsuoka, Yoky Palo Alto, US 255 14363
Rogers, Matthew L Los Gatos, US 68 4836
Vo, Helen San Carlos, US 10 426
Warren, Daniel A San Francisco, US 20 983

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