公开(公告)号：US10454702B2

公开(公告)日：2019-10-22

申请号：US15798030

申请日：2017-10-30

Applicant: Ademco Inc.

Inventor： Pradeep Shetty ,  Wendy Foslien ,  Keith Curtner ,  Purnaprajna R. Mangsuli ,  Soumitri Kolavennu

IPC: H04L12/28 ,  F24F11/00 ,  G05B19/042 ,  F24F11/30 ,  F24F11/62 ,  F24F11/54

Abstract: Systems and methods for managing a programmable thermostat are described herein. One or more system embodiments include a programmable thermostat having a first management profile; a data acquisition subsystem; and a data analysis subsystem. The data acquisition subsystem is configured to receive thermostat data from the programmable thermostat, and the data analysis subsystem is configured to receive the thermostat data from the data acquisition subsystem, and determine a second management profile for the programmable thermostat based, at least in part, on the thermostat data.

公开(公告)号：US10545518B2

公开(公告)日：2020-01-28

申请号：US15839556

申请日：2017-12-12

Applicant: Ademco Inc.

Inventor： Pradeep Shetty ,  Wendy Foslien Graber ,  Purnaprajna R. Mangsuli ,  Soumitri N. Kolavennu ,  Keith L. Curtner

IPC: G05D23/19 ,  H02J13/00 ,  H02J3/38 ,  H04L12/28 ,  H02J3/00

Abstract: A controller for controlling energy consumption in a home includes a constraints engine to define variables for multiple appliances in the home corresponding to various home modes and persona of an occupant of the home. A modeling engine models multiple paths of energy utilization of the multiple appliances to place the home into a desired state from a current context. An optimal scheduler receives the multiple paths of energy utilization and generates a schedule as a function of the multiple paths and a selected persona to place the home in a desired state.

公开(公告)号：US10911257B2

公开(公告)日：2021-02-02

申请号：US15166139

申请日：2016-05-26

Applicant: Ademco Inc.

Inventor： Saad J. Bedros ,  Tom Markham ,  Tom Plocher ,  Pradeep Shetty ,  Thirumaran Ekambaram ,  Nasir Mohammed

IPC: H04L12/28 ,  G05B15/02 ,  G05B19/042

Abstract: A context-aware smart home energy management (CASHEM) system and method is disclosed. CASHEM dynamically schedules household energy use to reduce energy consumption by identifying contextual information within said household, selecting a comfort of service preference, wherein said comfort of service preference is based on different said contextual information, and extracting an appliance use schedule for maximum energy savings based on said contextual information in light of said comfort of service preferences, by executing a program instruction in a data processing apparatus. CASHEM correlates said contextual information with energy consumption levels to dynamically schedule said appliance based on an energy-saving condition and a user's comfort. Comfort of service preferences are gathered by CASHEM by monitoring occupant activity levels and use of said appliance. CASHEM can also recommend potential energy savings for a user to modify comfort of service preferences.