Method and system for determining energy savings target for distributed sites of an entity

1. A method for determining an energy savings target for distributed sites of an entity, the method comprising:

identifying, by computing device comprising one or more processors, one or more energy profiles at each of one or more distributed sites by defining a service window and one or more energy control measures associated with the service window;

determining, by the computing device, one or more 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;

computing, by the computing device, one or more energy coefficients by performing one or more energy optimization techniques on the values of each of the one or more operational parameters;

predicting, by the computing device, energy consumption in the service window by performing a modular transformation of the one or more energy coefficients;

computing, by the computing device, current energy savings at each of the one or more distributed sites based on the energy consumption thus predicted and one or more adjustment factors;

determining, by the computing device, the energy savings target for each of the one or more distributed sites by performing the modular transformation of the one or more energy coefficients when compared with the current energy savings; and

displaying, by the computing device, at least one of a value of energy consumption at each of the one or more distributed sites, the current energy savings, or the energy savings target on a user interface, wherein the user interface is configured to highlight a critical energy control measure from the displayed at least one of a value of energy consumption at each of the one or more distributed sites, the current energy savings, or the energy savings, wherein the user interface is further configured to allow a user of the user interface to download the displayed at least one of a value of energy consumption at each of the one or more distributed sites, the current energy savings, or the energy savings.

2. The method as claimed in claim 1 , further comprising identifying, by the computing device, the energy profiles comprising mapping the service window with each of the one or more distributed sites based on an operating schedule of each of the one or more distributed sites.

3. The method as claimed in claim 1 further comprising normalizing, by the computing device, the values of each of the one or more operational parameters to a predefined time period using one or more other modular transfer functions and coefficients of the one or more other modular transfer functions.

4. The method as claimed in claim 1 , further comprising

updating, by the computing device, the energy coefficients 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 a manual override adjustment factor, a back failure control adjustment factor, an operating schedule adjustment factor, or an out of boundary adjustment factor.

6. A computing device comprising:

one or more processors; and

a memory communicatively coupled to the processor, wherein the memory stores processor-executable instructions, which, on execution by the processors, cause the processors to:

identify one or more energy profiles at each of one or more distributed sites by defining a service window and one or more energy control measures associated with the service window;

determine one or more 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;

compute one or more energy coefficients 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 a modular transformation of the one or more energy coefficients;

compute current energy savings at each of the one or more distributed sites based on the energy consumption thus predicted and one or more adjustment factors;

determine the energy savings target for each of the one or more distributed sites by performing the modular transformation of the one or more energy coefficients when compared with the current energy savings; and

display at least one of a value of energy consumption at each of the one or more distributed sites, the current energy savings, or the energy savings target on a user interface, wherein the user interface is configured to highlight a critical energy control measure from the displayed at least one of a value of energy consumption at each of the one or more distributed sites, the current energy savings, or the energy savings, wherein the user interface is further configured to allow a user of the user interface to download the displayed at least one of a value of energy consumption at each of the one or more distributed sites, the current energy savings, or the energy savings.

7. The computing device as claimed in claim 6 , wherein the processor-executable instructions, when executed by the processors,

further causes the processors to identify the energy profiles and map the service window with each of the one or more distributed sites based on an operating schedule of each of the one or more distributed sites.

8. The computing device as claimed in claim 6 ,

wherein the processor-executable instructions, when executed by the processors, further causes the processors to normalize the values of each of the one or more operational parameters to a predefined time period using one or more other modular transfer functions and coefficients of the one or more other modular transfer functions.

9. The computing device as claimed in claim 6 , wherein the processor-executable instructions, when executed by the processors, further causes the processors to update the energy coefficients during each reporting period while predicting the energy consumption.

10. The computing device as claimed in claim 6 , wherein the one or more adjustment factors include at least one of a manual override adjustment factor, a back failure control adjustment factor, an operating schedule adjustment factor, or an out of boundary adjustment factor.

11. A non-transitory computer-readable medium comprising instructions for determining an energy savings target for distributed sites of an entity, which, when executed by one or more processors, cause the processors to perform operations comprising:

identifying one or more energy profiles at each of one or more distributed sites by defining a service window and one or more energy control measures associated with the service window;

determining one or more 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;

computing one or more energy coefficients by performing one or more energy optimization techniques on the values of each of the one or more operational parameters;

predicting energy consumption in the service window by performing a modular transformation of the one or more energy coefficients;

computing current energy savings at each of the one or more distributed sites based on the energy consumption thus predicted and one or more adjustment factors; and

determining the energy savings target for each of the one or more distributed sites by performing the modular transformation of the one or more energy coefficients when compared with the current energy savings; and

displaying at least one of a value of energy consumption at each of the one or more distributed sites, the current energy savings, or the energy savings target on a user interface, wherein the user interface is configured to highlight a critical energy control measure from the displayed at least one of a value of energy consumption at each of the one or more distributed sites, the current energy savings, or the energy savings, wherein the user interface is further configured to allow a user of the user interface to download the displayed at least one of a value of energy consumption at each of the one or more distributed sites, the current energy savings, or the energy savings.

12. The medium of claim 11 wherein the instructions, when executed by the processors, further cause the processors to perform one or more additional operations comprising identifying the energy profiles and map the service window with each of the one or more distributed sites based on an operating schedule of each of the one or more distributed sites.

13. The medium of claim 11 , wherein the instructions, when executed by the processors, further cause the processors to perform one or more additional operations comprising normalizing the values of each of the one or more operational parameters to a predefined time period using one or more other modular transfer functions and coefficients of the one or more other modular transfer functions.

14. The medium as claimed in claim 11 , wherein the instructions, when executed by the processors, further cause the processors to perform one or more additional operations comprising updating the energy coefficients during each reporting period while predicting the energy consumption.

15. The medium as claimed in claim 11 , wherein the one or more adjustment factors include at least one of a manual override adjustment factor, a back failure control adjustment factor, an operating schedule adjustment factor, or an out of boundary adjustment factor.