User-relocatable self-learning environmental control device capable of adapting previous learnings to current location in controlled environment
Abstract:
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.
Information query
Patent Agency Ranking
0/0