Vivek P Garud

20130289788, Oct 31, 2013

Apr 25, 2013

13/870838

Abhay Gupta - Cupertino CA, US
Alaa Kharbouch - Santa clara CA, US
Vivek Garud - Cupertino CA, US

G05B 13/02

700291, 706 12

The present invention is generally directed to methods of disaggregating low resolution whole-house energy consumption data. In accordance with some embodiments of the present invention, methods may include steps of: receiving at a processor the low resolution whole house profile; selectively communicating with a first database including non-electrical information; selectively communicating with a second database including training data; and determining by the processor based on the low resolution whole house profile, the non-electrical information and the training data, individual appliance load profiles for one or more appliances.

20130110621, May 2, 2013

Feb 6, 2012

13/366850

ABHAY GUPTA - CUPERTINO CA, US
VIVEK GARUD - CUPERTINO CA, US
URI RODNEY - LA JOLLA CA, US
SUBODH BAPAT - PALO ALTO CA, US

MYENERSAVE, INC. - CUPERTINO CA

G01R 31/34
G06F 15/00

705 1452, 702 60

The present invention generally teaches systems and methods for creating appliance signatures based upon whole house composite load profiles. Methods may includes steps such as identifying primitive elements including transients and absolute steady state levels; clustering the primitive elements along multiple dimensions to form impulses; combining impulses to form simple bundles; combining simple bundles with each other or impulses to form complex bundles; and determining specific appliance signatures that substantially match the complex bundles. Methods may also include steps such as determining transitions within the whole house composite load profile; determining household specific appliance state machines for each appliance in the household; and disaggregating the whole house composite load profile into individual appliance energy loads by assigning the determined transitions to the determined household specific appliance state machines.