Claims:WE CLAIM:
1. A method for determining energy savings target for one or more distributed sites (101) of an entity, the method comprising:
identifying, by an energy savings prediction system (107), one or more energy profiles (211) at each of one or more distributed sites (101) by defining a service window and one or more energy control measures associated with the service window;
determining, by an energy savings prediction system (107), values of each of one or more operational parameters for a baseline period against a target reporting period in each of the one or more energy profiles (211);
computing, by the energy savings prediction system (107), one or more energy coefficients (213) by performing one or more energy optimization techniques on the values of each of the one or more operational parameters;
predicting, by the energy savings prediction system (107), energy consumption in the service window by performing modular transformation of the one or more energy coefficients (213);
computing, by the energy savings prediction system (107), current energy savings at each of the one or more distributed sites (101) based on the energy consumption thus predicted and one or more adjustment factors; and
determining, by the energy savings prediction system (107), the energy savings target for each of the one or more distributed sites (101) by performing the modular transformation of the one or more energy coefficients (213) when compared with the current energy savings.

2. The method as claimed in claim 1, wherein the one or more energy profiles (211) are identified by mapping the service window with each of the one or more distributed sites (101) based on operating schedule of each of the one or more distributed sites (101).

3. The method as claimed in claim 1 further comprises normalizing the values of each of the one or more operational parameters to a predefined time period using modular transfer functions (235) and coefficients of the modular transfer functions (235).
4. The method as claimed in claim 1, wherein the one or more energy coefficients (213) are updated during each reporting period while predicting the energy consumption.

5. The method as claimed in claim 1, wherein the one or more adjustment factors include at least one of manual override adjustment factor, back failure control adjustment factor, operating schedule adjustment factor and out of boundary adjustment factor.

6. The method as claimed in claim 1 further comprises displaying information comprising at least one of value of energy consumption at each of the one or more distributed sites (101), the current energy savings and the energy savings target on a user interface (109) associated with the energy savings prediction system (107).

7. An energy savings prediction system (107) for determining energy savings target for one or more distributed sites (101) of an entity, the energy savings prediction system (107) comprising:
a processor (203); and
a memory (205), communicatively coupled to the processor (203), wherein the memory (205) stores processor-executable instructions, which, on execution, causes the processor (203) to:
identify one or more energy profiles (211) at each of one or more distributed sites (101) by defining a service window and one or more energy control measures associated with the service window;
determine values of each of one or more operational parameters for a baseline period against a target reporting period in each of the one or more energy profiles (211);
compute one or more energy coefficients (213) by performing one or more energy optimization techniques on the values of each of the one or more operational parameters;
predict energy consumption in the service window by performing modular transformation of the one or more energy coefficients (213);
compute current energy savings at each of the one or more distributed sites (101) based on the energy consumption thus predicted and one or more adjustment factors; and
determine the energy savings target for each of the one or more distributed sites (101) by performing the modular transformation of the one or more energy coefficients (213) when compared with the current energy savings.

8. The energy savings prediction system (107) as claimed in claim 8, wherein the processor (203) identifies one or more energy profiles (211) by mapping the service window with each of the one or more distributed sites (101) based on operating schedule of each of the one or more distributed sites (101).

9. The energy savings prediction system (107) as claimed in claim 8, wherein the processor (203) normalizes the values of each of the one or more operational parameters to a predefined time period using modular transfer functions (235) and coefficients of the modular transfer functions (235).

10. The energy savings prediction system (107) as claimed in claim 8, wherein the processor (203) updates the one or more energy coefficients (213) during each reporting period while predicting the energy consumption.

11. The energy savings prediction system (107) as claimed in claim 8, wherein the one or more adjustment factors include at least one of manual override adjustment factor, back failure control adjustment factor, operating schedule adjustment factor and out of boundary adjustment factor.

12. The energy savings prediction system (107) as claimed in claim 8 is associated with a user interface (109) to display information comprising at least one of value of energy consumption at each of the one or more distributed sites (101), the current energy savings and the energy savings target.

Dated this 30th day of October, 2016

SWETHA S.N
OF K & S PARTNERS
AGENT FOR THE APPLICANT
, Description:TECHNICAL FIELD
The present subject matter is related, in general to energy conservation, and more particularly, but not exclusively to a method and system for determining energy savings target for one or more distributed sites of an entity.