SYSTEM AND METHOD FOR COMMANDING AN EXECUTION OF A PLURALITY OF TRANSACTIONS IN RESPONSE TO AN IMPROVED AT LEAST ONE EXECUTION PARAMETER

Abstract

Systems and methods for commanding an execution of a plurality of transactions in response to an improved at least one execution parameter are disclosed. An example system may include a controller having a transaction detection circuit to interpret a plurality of transaction request values, and transaction descriptions for a proposed or an imminent transaction, including a cryptocurrency type value and a transaction amount value. A transaction support circuit may interpret a support resource description including at least one supporting resource for the plurality of transactions. A support utilization circuit may operate an expert system configured to use machine learning to continuously improve at least one execution parameter for the transactions relative to the support resource description. A transaction execution circuit may command execution of the plurality of transactions in response to the improved execution parameter.

Claims

1. A transaction-enabling system comprising: a controller, comprising: a transaction detection circuit structured to interpret a plurality of transaction request values, wherein each transaction request value comprises a transaction description for one of a proposed or an imminent transaction, and wherein the transaction description comprises a cryptocurrency type value and a transaction amount value; a transaction support circuit structured to interpret a support resource description comprising at least one supporting resource for a plurality of transactions; a support utilization circuit structured to operate an expert system, wherein the expert system is configured to use machine learning to continuously improve at least one execution parameter for the plurality of transactions relative to the support resource description; and a transaction execution circuit structured to command execution of the plurality of transactions in response to the improved at least one execution parameter.

2. The system of claim 1, wherein the support resource description comprises an energy price description for an energy source available to power the execution of the plurality of transactions.

3. The system of claim 2, wherein the energy price description comprises at least one of a forward price prediction or a spot price for the energy source.

4. The system of claim 1, wherein the support resource description comprises a plurality of energy sources available to power the execution of the plurality of transactions.

5. The system of claim 1, wherein the support resource description comprises at least one of a state of charge or a charge cycle cost description for an energy storage source available to power the execution of the plurality of transactions.

6. The system of claim 5, wherein the energy storage source comprises a battery, and wherein the expert system is further configured to use machine learning to improve at least one parameter selected from the parameters consisting of: a battery energy transfer efficiency value; a battery life value; or a battery lifetime utilization cost value.

7. The system of claim 1, wherein the cryptocurrency type value indicates a self-executing cryptocurrency coin that commits a transaction of the plurality of transactions upon recognizing a transaction location parameter.

8. The system of claim 1, wherein at least one of the plurality of transactions comprises a cryptocurrency transaction, and wherein the expert system is further configured to use the machine learning to optimize the execution of the cryptocurrency transaction based on real time energy price information.

9. The system of claim 1, wherein the expert system is further configured to use the machine learning to optimize a charging and recharging cycle of a rechargeable battery system to provide energy for execution of a cryptocurrency transaction.

10. The system of claim 4, wherein at least one of the plurality of transactions comprises a cryptocurrency transaction, and wherein the expert system is further configured to use the machine learning to optimize the execution of a cryptocurrency transaction based on the plurality of energy sources available to power computing resources to execute the plurality of transactions.

11. A method, comprising: interpreting a plurality of transaction request values, wherein each transaction request value comprises a transaction description for one of a proposed or an imminent transaction, and wherein the transaction description comprises a cryptocurrency type value and a transaction amount value; interpreting a support resource description comprising at least one supporting resource for a plurality of transactions; operating an expert system, wherein the expert system is configured to use machine learning to continuously improve at least one execution parameter for the plurality of transactions relative to the support resource description; and commanding execution of the plurality of transactions in response to the improved at least one execution parameter.

12. The method of claim 11, wherein the commanding execution comprises utilizing the continuously improved at least one execution parameter.

13. The method of claim 11, further comprising commanding execution of a first transaction of the plurality of transactions in response to the at least one execution parameter, wherein the continuously improving the at least one execution parameter comprises updating the at least one execution parameter, the method further comprising commanding execution of a second transaction of the plurality of transactions using the updated at least one execution parameter.

14. The method of claim 11, wherein the support resource description comprises an energy price description for an energy source available to power the execution of the plurality of transactions.

15. The method of claim 14, wherein the energy price description comprises at least one of a forward price prediction or a spot price for the energy source.

16. The method of claim 11, wherein the support resource description comprises an energy price description for an energy source available to power the execution of the plurality of transactions.

17. The method of claim 11, wherein the cryptocurrency type value indicates a self-executing cryptocurrency coin that commits a transaction of the plurality of transactions upon recognizing a transaction location parameter.

18. The method of claim 11, wherein at least one of the plurality of transactions comprises a cryptocurrency transaction, the method further comprising operating the expert system and the machine learning to optimize the execution of the cryptocurrency transaction based on real time energy price information.

19. The method of claim 11, wherein at least one of the plurality of transactions comprises a cryptocurrency transaction, the method further comprising operating the expert system and the machine learning to optimize a charging and recharging cycle of a rechargeable battery system to provide energy for execution of the cryptocurrency transaction.

20. The method of claim 14, wherein at least one of the plurality of transactions comprises a cryptocurrency transaction, the method further comprising operating the expert system and the machine learning to optimize the execution of the cryptocurrency transaction based on the energy source available to power computing resources to execute the plurality of transactions.