Invention Grant
- Patent Title: Predictively controlling an environmental control system
-
Application No.: US14597198Application Date: 2015-01-14
-
Publication No.: US09869484B2Publication Date: 2018-01-16
- Inventor: Todd Andrew Hester , Evan Jarman Fisher , Piyush Khandelwal
- Applicant: Google Inc.
- Applicant Address: US CA Mountain View
- Assignee: Google Inc.
- Current Assignee: Google Inc.
- Current Assignee Address: US CA Mountain View
- Agency: Kilpatrick Townsend & Stockton LLP
- Main IPC: F24F11/00
- IPC: F24F11/00 ; F24F11/02 ; G05B17/02

Abstract:
In an embodiment, an electronic device may include a processor that may iteratively simulate candidate control trajectories using upper confidence bound for trees (UCT) to control an environmental control system (e.g., an HVAC system). Each candidate control trajectory may be simulated by selecting a control action at each of a plurality of time steps over a period of time that has the highest upper bound on possible performance using values from previous simulations and predicting a temperature for a next time step of the plurality of time steps that results from applying the selected control action using a thermal model. The processor may determine a value of each candidate control trajectory using a cost function, update the value of each control action selected in each candidate control trajectory, and select a candidate control trajectory with the highest value using UCT to apply to control the environmental control system.
Public/Granted literature
- US20160201934A1 PREDICTIVELY CONTROLLING AN ENVIRONMENTAL CONTROL SYSTEM USING UPPER CONFIDENCE BOUND FOR TREES Public/Granted day:2016-07-14
Information query