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Patent application title: SYSTEMS AND METHODS FOR UTILIZING SOCIAL MEDIA DATA TO AUTOMATICALLY EXECUTE A RESOURCE TRANSACTION

Inventors:  Charles Howard Cella (Pembroke, MA, US)
IPC8 Class: AG06F938FI
USPC Class: 1 1
Class name:
Publication date: 2020-09-17
Patent application number: 20200293321



Abstract:

Systems and methods for using analyzed social media data to predict a forward resource market and automatically execute a resource transaction accordingly. An example system may include a machine having a resource requirement and a controller. The controller may include: a resource requirement circuit to determine an amount of a resource needed; a social media data circuit to interpret data from social media data sources; a forward resource market circuit to access a forward resource market; and a market forecasting circuit to predict a forward market price of the resource in response to the interpreted social media data. A resource distribution circuit may execute a resource transaction on the forward resource market in response to the determined amount of the resource and the predicted forward market price.

Claims:

1. A transaction-enabling system, comprising: a machine having at least one of a compute task requirement, a networking task requirement, and an energy consumption task requirement; and a controller, comprising: a resource requirement circuit structured to determine an amount of a resource for the machine to service at least one of the compute task requirement, the networking task requirement, and the energy consumption task requirement; a social media data circuit structured to interpret data from a plurality of social media data sources; a forward resource market circuit structured to access a forward resource market; a market forecasting circuit structured to predict a forward market price of the resource on the forward resource market in response to the interpreted data; and a resource distribution circuit structured to execute a transaction of the resource on the forward resource market in response to the determined amount of the resource and the predicted forward market price of the resource.

2. The transaction-enabling system of claim 1, wherein the resource comprises a spectrum allocation resource, and wherein the forward resource market comprises a forward market for spectrum allocation.

3. The transaction-enabling system of claim 1, wherein the resource comprises an energy credit resource, and wherein the forward resource market comprises a forward market for energy credits.

4. The transaction-enabling system of claim 1, wherein the resource comprises an energy resource, and wherein the forward resource market comprises a forward market for energy.

5. The transaction-enabling system of claim 1, wherein the transaction of the resource on the forward resource market comprises one of buying or selling the resource.

6. The transaction-enabling system of claim 1, wherein the market forecasting circuit further comprises at least one of a machine learning component, an artificial intelligence component, or a neural network component.

7. The transaction-enabling system of claim 1, wherein the resource distribution circuit is further structured to adaptively improve one of an output value of the machine or a cost of operation of the machine using executed transactions on the forward resource market.

8. The transaction-enabling system of claim 7, wherein the resource distribution circuit further comprises at least one of a machine learning component, an artificial intelligence component, or a neural network component.

9. The transaction-enabling system of claim 1, wherein the interpreted data relates to a human behavior indicative of an increasing energy demand.

10. The transaction-enabling system of claim 1, wherein the interpreted data relates to an indicator on social media that relates to a forward market price.

11. The transaction-enabling system of claim 10, wherein the indicator is at least one of a conversation type, a keyword occurrence, a sharing of topic indicators, or an event indicator.

12. A method, comprising: determining an amount of a resource for a machine to service at least one of a compute task requirement, a networking task requirement, and an energy consumption task requirement; interpreting data from a plurality of social media data sources; accessing a forward resource market; predicting a forward market price of the resource on the forward resource market in response to the plurality of social media data sources; and executing a transaction of the resource on the forward resource market in response to the determined amount of the resource and the predicted forward market price of the resource.

13. The method of claim 12, wherein the resource comprises a spectrum allocation resource, and wherein the forward resource market comprises a forward market for spectrum allocation.

14. The method of claim 12, wherein the resource comprises an energy credit resource, and wherein the forward resource market comprises a forward market for energy credits.

15. The method of claim 12, wherein the resource comprises an energy resource, and wherein the forward resource market comprises a forward market for energy.

16. The method of claim 12, wherein executing the transaction of the resource on the forward resource market comprises one of buying or selling the resource.

17. The method of claim 12, further comprising adaptively improving one of an output value of the machine or a cost of operation of the machine using executed transactions on the forward resource market.

18. The method of claim 12, wherein the interpreted data relates to a human behavior indicative of an increasing energy demand.

19. The method of claim 12, wherein the interpreted data relates to an indicator on social media that relates to a forward market price.

20. The method of claim 19, wherein the indicator is at least one of a conversation type, a keyword occurrence, a sharing of topic indicators, or an event indicator.

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