Facilitating power transactions
First Claim
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1. A power transaction system, comprising:
- a memory that stores computer executable components;
a processor that executes the computer executable components stored in the memory, wherein the computer executable components comprise;
an interaction component that receives, via the system, first information from a set of agent components regarding purchase, generation, sale or provisioning of energy by one or more devices via an electricity grid;
an execution component that facilitates;
execution of contracts between a subset of the set of agent components based on the first information and an inference of future energy usage, wherein the inference is determined by the system based on artificial intelligence performed by the system, and wherein the facilitating execution improves the efficiency of the process of transporting electricity; and
facilitates performance of an outlay of energy based on the execution and the inference;
a configuration component that performs enhanced data processing operations and value-add operations comprising facilitating a prediction of future electricity demands, accessing archived data and accessing collected data on the flow of electricity via the electricity grid;
a monitoring component that collects data regarding flow of electricity from a metering component, wherein the data is selected from a group comprising time stamps, member identification and energy consumption; and
billing component that utilizes second information from a validation component and the monitoring component to determine fulfillment of the contracts and transfer of money between the one or more devices based on a comparison of the data to a set of requirements of the contracts;
consumer agent component that accesses the information generated and collected by the configuration component, and employs artificial intelligence via a specialized computer and utilizing historical data, statistics and trends to predict within a defined level of confidence a demand for energy at a future date or time; and
a consumer member system that transmits the electricity across the electricity grid, wherein the power transaction system controls the deployment of electricity in a manner that minimizes or eliminates a need for excess storaqe capacity on the electricity grid and flow of electricity between the electricity grid and a consumer smart meter component of the power transaction system based on the artificial intelligence and corresponding prediction of at least one of the demand for energy at the future date or time.
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Abstract
The subject invention relates to employing interactive components and execution components to facilitate power transactions. In an example, a method includes receiving a first set of data from a set of agent components, wherein the first set of data represents a purchase, a transmission, a production, a sale or a consumption of energy; and facilitating execution, by the system, of a set of contracts between a first subset of agent components and a second subset of agent components based on the first set of data. In another example, a method can further include insuring, by the system, the set of contracts against a supply surplus of energy or a production shortage of energy.
19 Citations
11 Claims
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1. A power transaction system, comprising:
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a memory that stores computer executable components; a processor that executes the computer executable components stored in the memory, wherein the computer executable components comprise; an interaction component that receives, via the system, first information from a set of agent components regarding purchase, generation, sale or provisioning of energy by one or more devices via an electricity grid; an execution component that facilitates; execution of contracts between a subset of the set of agent components based on the first information and an inference of future energy usage, wherein the inference is determined by the system based on artificial intelligence performed by the system, and wherein the facilitating execution improves the efficiency of the process of transporting electricity; and facilitates performance of an outlay of energy based on the execution and the inference; a configuration component that performs enhanced data processing operations and value-add operations comprising facilitating a prediction of future electricity demands, accessing archived data and accessing collected data on the flow of electricity via the electricity grid; a monitoring component that collects data regarding flow of electricity from a metering component, wherein the data is selected from a group comprising time stamps, member identification and energy consumption; and billing component that utilizes second information from a validation component and the monitoring component to determine fulfillment of the contracts and transfer of money between the one or more devices based on a comparison of the data to a set of requirements of the contracts; consumer agent component that accesses the information generated and collected by the configuration component, and employs artificial intelligence via a specialized computer and utilizing historical data, statistics and trends to predict within a defined level of confidence a demand for energy at a future date or time; and a consumer member system that transmits the electricity across the electricity grid, wherein the power transaction system controls the deployment of electricity in a manner that minimizes or eliminates a need for excess storaqe capacity on the electricity grid and flow of electricity between the electricity grid and a consumer smart meter component of the power transaction system based on the artificial intelligence and corresponding prediction of at least one of the demand for energy at the future date or time. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8)
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9. A computer program product of a power transaction system for facilitating a power transaction between a set of agent components corresponding to one or more devices, the computer program product comprising a computer readable storage medium having program instructions embodied therewith, the program instructions executable by a processor to cause the processor to:
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receive, by a device, a first set of data from a group of agent components, wherein the group of agent components comprises at least one of a consumer agent component, a producer agent component, a grid agent component or an insurance agent component; facilitate execution of a set of contracts between at least a portion of the group of agent components based on the first set of data and an inference of future energy usage on an electricity grid, wherein the inference is determined by the device based on artificial intelligence performed by the device, and wherein the facilitating execution improves the efficiency of the process of transporting electricity; facilitate performance of an energy activity based on the execution and the inference; perform, by the device, enhanced data processing operations and value-add operations comprising facilitating a prediction of future electricity demands, accessing archived data and accessing collected data on the flow of electricity via the electricity grid; access, by the device, the information generated and collected; employ, by the device, artificial intelligence via a specialized computer and utilize historical data, statistics and trends to predict within a defined level of confidence a demand for energy at a future date or time; collect, by the device, data regarding flow of electricity from a metering component, wherein the data is selected from a group comprising time stamps, member identification and energy consumption; utilize, by the device, second information from a validation component and the monitoring component to determine fulfillment of the contracts and transfer of money between the one or more devices based on a comparison of the data to a set of requirements of the contracts; and transmit, by the device, the electricity across the electricity grid based on a control of the deployment of electricity in a manner that minimizes or eliminates a need for excess storage capacity on the electricity grid and flow of electricity between the electricity grid and a consumer smart meter component of the power transaction system based on the artificial intelligence and corresponding prediction of at least one of the demand for energy at the future date or time. - View Dependent Claims (10, 11)
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Specification