System and method for facilitating smart energy management in a network
AssigneeJio Platforms Limited
InventorsDilip Krishnaswamy, Dipender Bhamrah, Rajeev Gupta
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Abstract
The present disclosure provides a system and a method for facilitating smart energy management services in a network. In particular, the system provides the smart energy management services to users, enterprises, and the like. The system may collect information related to operation of one or more computing devices in a network, extract one or more parameters related to one or more sources of energy based on the collected information, and provide personalized energy management services to each of the one or more computing devices in the network via network slicing. The energy management services may include one or more recommendations to be executed at the one or more computing devices.
Claims27
A system (110) for facilitating energy management services, the system (110) comprising:
- one or more processors (470);
- and
- a memory operatively coupled to the one or more processors (470), wherein the memory comprises processor-executable instructions, which on execution, cause the one or more processors (470) to:
- record information corresponding to operation of one or more computing devices (104) in a network (106);
- extract one or more parameters corresponding to one or more sources of energy in the network (106) based on the recorded information;
- and
- based on the extracted one or more parameters and the recorded information of the one or more computing devices (104), provide personalized energy management services to each of the one or more computing devices (104) via at least one slice of the network (106), wherein the personalized energy management services comprise one or more recommendations to be executed at the one or more computing devices (104).
A method for providing energy management services, the method comprising:
- recording, by one or more processors (470), information corresponding to operation of one or more computing devices (104) in a network (106);
- extracting, by the one or more processors (470), one or more parameters corresponding to one or more sources of energy in the network (106) based on the recorded information;
- and
- based on the extracted one or more parameters and the recorded information of the one or more computing devices (104), providing, by the one or more processors (470), personalized energy management services to each of the one or more computing devices (104) via at least one slice of the network (106), wherein the personalized energy management services comprise one or more recommendations to be executed at the one or more computing devices (104).
A user equipment (104), comprising:
- one or more processors;
- and
- a memory operatively coupled to the one or more processors, wherein the memory comprises processor-executable instructions, which on execution, cause the one or more processors to:
- send information corresponding to operation of the user equipment (104) to a system (110) in a network (106);
- receive one or more recommendations from the system (110) via at least one slice of the network (106);
- and
- execute the one or more recommendations at a predetermined time period, wherein the one or more recommendations are based at least on the information corresponding to the operation of the user equipment (104) and one or more parameters corresponding to one or more energy sources in the network (106).
A non-transitory computer-readable medium comprising processor-executable instructions that cause a processor to:
- record information corresponding to operation of one or more computing devices (104) in a network (106);
- extract one or more parameters corresponding to one or more sources of energy in the network (106) based on the recorded information;
- and
- based on the extracted one or more parameters and the recorded information of the one or more computing devices (104), provide personalized energy management services to each of the one or more computing devices (104) via at least one slice of the network (106), wherein the personalized energy management services comprise one or more recommendations to be executed at the one or more computing devices (104).
Dependencies are inferred from the claim text.