Honeywell International Inc.

General Electric Company

Ademco Inc.

Innovation Asset Collective

Pradeep Shetty

Soumitri N Kolavennu

Keith L Curtner

Wendy K Foslien

Purnaprajna Raghavendra Mangsuli

Rangesa Arakere

Mahendra Madhukar Patil

Nagaraja Sundaresh

Balaji Aswatha Narayana

Kiran Padmakumari Devapalan

Ananda Huchappa Shastry

Rajesh Ramesh

Prunaprajna R Mangsuli

Chandrashekar Padubidri

Tony T Thomas

Wendy Foslien Graber

Tom Plocher

Saad J Bedros

Ramprasad Yelchuru

Gudi Ravindra

Srikanth Ryali

Shailesh Rajnikant Patel

Tom Markham

Thirumaran Ekambaram

Nasir Mohammed

Energy usage of a plurality of appliances is measured using a single meter. A pattern of energy usage with respect to the plurality of appliances is determined dependent upon the measured energy usage, appliance details of the plurality of appliances, and usage hours of the plurality of appliances. The pattern is provided to a user of the appliances.

System to make consumers aware of electricity usage

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.

Context-aware smart home energy manager

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.

System and method for optimal load and source scheduling in context aware homes

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.

Systems and methods for managing a programmable thermostat

Devices, methods, and systems for occupancy detection are described herein. One device embodiment includes a memory and a processor coupled to the memory. The processor is configured to execute executable instructions stored in the memory to determine energy consumption data associated with a structure at a point in time, and determine whether the structure is occupied at the point in time based, at least in part, on the determined energy consumption data.

Devices, methods, and systems for occupancy detection

MRI head neck chest coil

MRI head neck coil

MRI head neck coil with open face adapter

A system for disaggregating a gross energy measurement into individual component energy consumption. A collection of components may be situated in a facility. A sensor may obtain electrical signals from one or more power input lines which convey power to the facility for the components. The signals may indicate the total energy consumption by the collection of components. Approaches and/or mechanisms may be used to disaggregate the indication of total energy consumption into indications of individual energy consumption by the components without the need for separately determining the individual energy consumption with additional measurements or instrumentation. Also, approaches and/or mechanisms may be used for integrating a known load activity with whole facility energy consumption for enhancing the component disaggregation. Indications of individual energy consumption permit a reasonable evaluation of components from efficiency, conservation and/or other perspectives.

Energy consumption disaggregation system

Growing community of inventors

Bengaluru, India

Pradeep Shetty