AI-assisted load reduction power management system

1 . A power management system comprising:

processing circuitry; and

non-transitory storage media storing instructions that, when executed by the processing circuitry cause the processing circuitry to perform operations comprising:

receiving an overload indicator indicative of an overload condition of a power grid configured to supply electrical power to a plurality of consumers;

receiving feedback signals indicative of respective power draws of a plurality of electrical components of a consumer of the plurality of consumers;

generating a load reduction plan based on the feedback signals of one or more electrical components of the plurality of electrical components, wherein the one or more electrical components are a subset of the plurality of electrical components; and wherein generating the load reduction plan comprises:

determining, via an artificial intelligence (AI) module of the power management system, a respective load purpose associated with at least one of the one or more electrical components from a plurality of load purposes, wherein the plurality of load purposes comprise a medical load purpose, an entertainment load purpose, a safety load purpose, a household load purpose, or a combination thereof; and

determining, via the AI module of the power management system, a respective criticality of the at least one of the one or more electrical components based on the determined respective load purpose;

implementing the load reduction plan for the consumer of the plurality of consumers in response to the overload indicator, wherein the load reduction plan indicates a portion of the one or more electrical components of the consumer for which to reduce respective power draws on the electrical power;

sending one or more control signals to the portion of the one or more electrical components in accordance with the load reduction plan to change respective operating states of the portion of the one or more electrical components such that the respective power draws of the portion of the one or more electrical components are reduced; and

restoring the respective operating states of at least a the portion of the one or more electrical components, in response to a revocation of the overload indicator or an all-clear indicator, by sending one or more restoring control signals to the portion of the one or more electrical components, wherein the all-clear indicator is representative of an end to the overload condition.

2 . The power management system of claim 1 , wherein the consumer comprises a structure having a power meter, and wherein the plurality of electrical components are disposed electrically after the power meter with respect to a flow of the electrical power from the power grid to the structure.

3 . The power management system of claim 1 , wherein the power management system is disposed at a location of the consumer.

4 . The power management system of claim 3 , wherein the overload indicator is received by the power management system from a utility operator of the power grid.

5 . The power management system of claim 1 , wherein the one or more electrical components comprise an electronically controllable circuit breaker of a breaker box of the consumer, a smart controller, a smart load, or any combination thereof.

6 . The power management system of claim 1 , wherein the operations comprise:

obtaining respective user priorities of the plurality of electrical components;

determining respective criticalities of the plurality of electrical components based on the feedback signals and the respective user priorities of the plurality of electrical components; and

generating the load reduction plan based on the respective criticalities of the plurality of electrical components.

7 . The power management system of claim 1 , wherein generating the load reduction plan comprises analyzing the feedback signals via an artificial intelligence (AI) AI algorithm.

8 . The power management system of claim 1 , wherein the plurality of electrical components comprises a plurality of loads, and wherein the operations comprise:

determining respective types of the plurality of loads and respective usages of the plurality of loads based on the feedback signals, a set of user preferences corresponding to the plurality of loads, or both;

generating a user profile comprising associations between with the respective types of the plurality of loads; and

providing a product offering, a service offering, or both to a user associated with the user profile based on the user profile.

9 . A method comprising:

receiving, via a power management system, feedback signals indicative of respective power draws of a plurality of electrical loads of a consumer of an electrical grid configured to supply electrical power to the consumer;

receiving an overload indicator indicative of an overload condition of the electrical grid;

generating a load reduction plan based on additional feedback signals of one or more electrical components of the plurality of electrical loads, wherein the one or more electrical components are a subset of the plurality of electrical loads; and wherein generating the load reduction plan comprises:

determining, via an artificial intelligence (AI) module of the power management system, a respective load purpose associated with at least one of the one or more electrical components from a plurality of load purposes, wherein the plurality of load purposes comprise a medical load purpose, an entertainment load purpose, a safety load purpose, a household load purpose, or a combination thereof; and

determining, via the AI module of the power management system, a respective criticality of the at least one of the one or more electrical components based on the determined respective load purpose;

implementing, via the power management system, the load reduction plan;

sending, via the power management system, one or more control signals to the one or more electrical components of the consumer such that respective power draws of the one or more electrical components are reduced;

restoring the respective power draws of at least a portion of the one or more electrical components, in response to a revocation of the overload indicator or an all-clear indicator, by sending one or more restoring control signals to the portion of the one or more electrical components, wherein the all-clear indicator is representative of an end to the overload condition;

generating, via an assessment module of the power management system, a user profile comprising associations with types of electrical devices associated with the plurality of electrical loads and usages of the electrical devices based on the feedback signals; and

providing, via a graphical user interface, a product offering, a service offering, or both to a user associated with the user profile based on the user profile.

10 . The method of claim 9 ,

wherein the one or more electrical components control operating states of a second portion of the plurality of electrical loads, a third portion of the plurality of electrical loads, or both.

11 . The method of claim 9 , comprising:

obtaining a set of user preferences comprising the types of electrical devices associated with the plurality of electrical loads, user priorities of the plurality of electrical loads, or both.

12 . The method of claim 11 , wherein the set of user preferences is generated by an artificial intelligence the AI module of the power management system based on the feedback signals.

13 . The method of claim 9 comprising:

determining one or more behaviors of the user profile based on the types of electrical devices and the usages of the electrical devices; and

determining one or more risk factors associated with the user profile based on the one or more behaviors.

14 . The method of claim 13 , comprising:

sending the one or more risk factors to a financial institution, an insurance institution, or both;

providing, based on the one or more risk factors, the product offering, the service offering, or both; or

both.

15 . A system comprising:

a power grid configured to provide electrical power to a plurality of consumers; and

a power management system of a utility operator configured to:

monitor conditions of the power grid;

receive feedback signals indicative of respective power draws of a plurality of electrical loads of a consumer of the plurality of consumers

generate an overload indicator indicative of an overload condition of the power grid;

generate a load reduction plan based on additional feedback signals of one or more electrical components of the plurality of electrical loads, wherein the one or more electrical components are a subset of the plurality of electrical loads, and wherein generating the load reduction plan is configured to:

determine, via an artificial (AI) module of the power management system, a respective load purpose associated with at least one of the one or more electrical components from a plurality of load purposes, wherein the plurality of load purposes comprise a medical load purpose, an entertainment load purpose, a safety load purpose, a household load purpose, or a combination thereof; and

determine, via the AI module of the power management system, a respective criticality of the at least one of the one or more electrical components based on the determined respective load purpose;

implement the load reduction plan for the consumer of the plurality of consumers in response to the overload indicator, wherein the load reduction plan indicates one or more electrical components of the consumer for which to reduce respective power draws on the electrical power; and

send one or more control signals to the one or more electrical components in accordance with the load reduction plan to change respective operating states of the one or more electrical components such that the respective power draws of the one or more electrical components are reduced; and

restore the respective operating states of at least a portion of the one or more electrical components, in response to a revocation of the overload indicator or an all-clear indicator, by sending one or more restoring control signals to the portion of the one or more electrical components, wherein the all-clear indicator is representative of an end to the overload condition.

16 . The system of claim 15 , wherein the power management system is configured to:

implement a second load reduction plan, different from the load reduction plan, for a second consumer of the plurality of consumers in response to the overload indicator, wherein the second load reduction plan indicates one or more other electrical components, different than the one or more electrical components, of the second consumer for which to reduce respective power draws on the electrical power; and

send one or more other control signals to the one or more other electrical components in accordance with the second load reduction plan to change respective operating states of the one or more other electrical components such that the respective power draws of the one or more other electrical components are reduced.

17 . The system of claim 16 , wherein the power management system is configured to:

receive second feedback signals indicative of the respective power draws of a second plurality of electrical components of the second consumer, wherein the one or more other electrical components are a second subset of the second plurality of electrical components;

and

generate the second load reduction plan based on the second feedback signals.

18 . The system of claim 15 , wherein the power management system of the utility operator is further configured to:

enable a test mode configured to simulate the load reduction plan for the consumer without implementing the load reduction plan; and

generate a visualization, in response to the test mode being enabled, to be displayed via a graphical user interface of a personal device in communication with the power management system, wherein the visualization is configured to identify the one or more electrical components that would have the respective power draw associated with the one or more electrical components reduced based on the load reduction plan.