SYSTEMS AND METHODS FOR FORWARD MARKET ENERGY PRICE PREDICTION AND MACHINE FORWARD ENERGY PURCHASE

1 . A transaction-enabling system, comprising:

a machine having an energy requirement for a task; and

a controller, comprising:

a resource requirement circuit structured to determine an amount of an energy resource for the machine to service the energy requirement;

a market forecasting circuit structured to predict a forward market price on a forward resource market based on the determined amount of the energy resource and at least one external data source;

a forward resource market circuit structured to access the forward resource market; and

a resource distribution circuit structured to execute a transaction on the forward resource market in response to the determined amount of the energy resource and the predicted forward market price.

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

3 . The transaction-enabling system of claim 1 , wherein the at least one external data source is an internet-of-things (IoT) data source.

4 . The transaction-enabling system of claim 1 , wherein the forward resource market comprises at least one of a forward market for energy corresponding to the energy resource, or a forward market for energy corresponding to a substitute energy resource.

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

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

7 . The transaction-enabling system of claim 6 , wherein the resource distribution circuit further comprises a component selected from a list of components consisting of: a machine learning component, an artificial intelligence component, and a neural network component.

8 . The transaction-enabling system of claim 1 , wherein the resource requirement circuit is further structured to determine an amount of a resource for the machine to service a resource utilization requirement, wherein the resource is selected from the resources consisting of: a compute resource, a network bandwidth resource, a spectrum resource, a data storage resource, and an energy credit resource.

9 . The transaction-enabling system of claim 1 , wherein the market forecasting circuit is further structure to predict the forward market price as one of a price for energy corresponding to the energy resource or a price for energy corresponding to a substitute energy resource.

10 . The transaction-enabling system of claim 1 , wherein the resource distribution circuit is further structured to interpret historical external data from at least one external data source, and to further adaptively improve a utilization of the energy resource in response to the historical external data.

11 . The transaction-enabling system of claim 1 , wherein the task comprises at least one of a compute task, a networking task, or an energy consumption task.

12 . The transaction-enabling system of claim 1 , further comprising a forecasting circuit structured to adaptively improve a forecast for an energy resource price on the forward resource market using a machine learning component, an artificial intelligence component, or a neural network component.

13 . A method, comprising:

determining an amount of an energy resource for a machine to service at least one task;

predicting a forward market price on a forward resource market based on the determined amount of the energy resource and at least one external data source;

accessing a forward resource market; and

executing a transaction on the forward resource market in response to the determined amount of the energy resource and the predicted forward market price.

14 . The method of claim 13 , wherein the at least one external data source is an internet-of-things (IoT) data source.

15 . The method of claim 13 , wherein the forward resource market further comprises a forward market for energy.

16 . The method of claim 15 , wherein the forward market for energy comprises one of a forward market for energy corresponding to the energy resource, or a forward market for energy corresponding to a substitute energy resource.

17 . The method of claim 13 , further comprising adaptively improving a utilization of the energy resource.

18 . The method of claim 13 , wherein the at least one task comprises at least one of a compute task, a networking task, or an energy consumption task.

19 . The method of claim 13 , wherein executing the transaction on the forward resource market comprises one of buying or selling the energy resource.

20 . The method of claim 13 , further comprising adaptively improving a cost of operation of the machine using executed transactions on the forward resource market.

21 . The method of claim 13 , further comprising forecasting to adaptively improve a forecast for an energy resource price on the forward resource market using a machine learning component, an artificial intelligence component, or a neural network component.

22 . The method of claim 13 , further comprising interpreting historical external data from at least one external data source, and further adaptively improving a utilization of the energy resource in response to the historical external data.