System and method for adjusting a facility configuration based on detected conditions
Systems and methods for adjusting a facility configuration based on detected conditions are disclosed. An example system may include an energy and compute facility having a compute resource, and an energy source or an energy utilization requirement. The system may also include a controller having a facility description circuit to interpret detected conditions, and a facility configuration circuit to operate an adaptive learning system. The adaptive learning system is configured to adjust a facility configuration based on the detected conditions, wherein adjusting the facility configuration includes adjusting a utilization of the compute resource and at least one additional facility resource.
1. A transaction-enabling system, comprising:
an energy and compute facility comprising:
at least one compute resource;
at least one additional facility resource comprising at least one of a network resource, a data storage resource, or a spectrum resource; and
an energy generation and storage system that produces and stores energy that is available to the at least one compute resource and the at least one additional facility resource; and
a controller, comprising:
a facility description circuit structured to interpret detected conditions relating to the energy and compute facility, the detected conditions comprising at least one of a detected input parameter for a facility resource, a detected output parameter for the facility, or a detected external condition related to the facility; and
a facility configuration circuit structured to operate an adaptive learning system, configured to adjust a facility configuration based on the detected conditions, the facility configuration including a utilization of the at least one compute resource, a utilization of the at least one additional facility resource, and an energy utilization parameter indicating an amount of energy allocated to the at least one computer resource and the at least one additional facility resource, the adjusting comprising:
maintaining a training data set comprising feedback data indicating outcomes of previous facility configurations,
iteratively self-adjusting, by an artificial intelligence system trained on the training data set, the energy utilization parameter, the utilization of the at least one compute resource, and the utilization of the at least one additional facility resource to determine an updated facility configuration having a profitable utilization based on the training data set and the detected conditions;
initiating a sale transaction of excess energy generated by the energy generation and storage system on at least one of an energy spot market or an energy forward market in response to determining that an amount of energy produced by the energy generation and storage system exceeds the self-adjusted energy utilization parameter;
monitoring an outcome of the energy and compute facility in response to the updated facility configuration; and
updating the training data set with new feedback data defining the detected conditions, the updated facility configuration, and an outcome corresponding to the updated facility configuration and the sale transaction of the excess energy such that the artificial intelligence system is reinforced with the updated training data set.
2. The system of claim 1 , wherein the adaptive learning system comprises at least one of a machine learning system or an artificial intelligence (AI) system.
3. The system of claim 1 , wherein the adjusting the facility configuration further comprises performing at least one of a purchase or a sale transaction on one of the energy spot market or the energy forward market in response to determining that the energy utilization parameter exceeds the amount of energy produced by the energy generation and storage system.
4. The system of claim 1 , wherein:
the at least one additional facility resource comprises a networking resource; and
the adjusting the facility configuration further comprises performing at least one of a purchase or a sale transaction on one of a network bandwidth spot market or a network bandwidth forward market.
5. The system of claim 1 , wherein the adjusting the facility configuration further comprises adjusting the at least one compute resource of the facility to reduce the energy utilization parameter.
6. The system of claim 1 , wherein the adjusting the facility configuration further comprises performing at least one of a purchase or a sale transaction on one of a compute resource spot market or a compute resource forward market.
7. The system of claim 1 , wherein the adjusting the facility configuration further comprises performing at least one of a purchase or a sale transaction on one of an energy credit spot market or an energy credit forward market.
8. The system of claim 1 , wherein:
the at least one additional facility resource comprises a networking resource; and
the adjusting the facility configuration further comprises performing at least one of a purchase or a sale transaction on a spectrum spot market.
9. The system of claim 1 , wherein:
the at least one additional facility resource comprises a networking resource; and
the adjusting the facility configuration further comprises performing at least one of a purchase or a sale transaction on a spectrum forward market.
10. A method, comprising:
interpreting detected conditions relative to a facility, the detected conditions comprising at least one of a detected input parameter for a facility resource, a detected output parameter for the facility, or a detected external condition related to the facility; and
operating an adaptive learning system, thereby adjusting a facility configuration based on the detected conditions and adjusting a utilization of a compute resource of the facility, a utilization of at least one additional facility resource, and an energy utilization parameter indicating an amount of energy allocated to the at least one computer resource and the at least one additional facility resource, the at least one additional facility resource comprising at least one of a network resource, a data storage resource, or a spectrum resource, the facility including an energy generation and storage system that produces and stores energy that is available to the at least one compute resource and the at least one additional facility resource, the adjusting comprising:
maintaining a training data set comprising feedback data indicating outcomes of previous facility configurations; and
iteratively self-adjusting, by an artificial intelligence system trained on the training data set, the energy utilization parameter, the utilization of the compute resource and the utilization of the at least one additional facility resource to determine an updated facility configuration having a profitable utilization based on the training data set and the detected conditions;
initiating a sale transaction of excess energy generated by the energy generation and storage system on at least one of an energy spot market or an energy forward market in response to determining that an amount of energy produced by the energy generation and storage system exceeds the self-adjusted energy utilization parameter;
monitoring an outcome of the energy and compute facility in response to the updated facility configuration; and
updating the training data set with new feedback data defining the detected conditions, the updated facility configuration, and an outcome corresponding to the updated facility configuration and the sale transaction of the excess energy such that the artificial intelligence system is reinforced with the updated training data set.
11. The method of claim 10 , wherein the adjusting the facility configuration further comprises performing at least one of a purchase or a sale transaction on one of the energy spot market or the energy forward market.
12. The method of claim 10 , wherein the adjusting the facility configuration further comprises performing at least one of a purchase or a sale transaction on one of a compute resource spot market or a compute resource forward market.
13. The method of claim 10 , wherein the adjusting the facility configuration further comprises performing at least one of a purchase or a sale transaction on one of an energy credit spot market or an energy credit forward market.
14. The method of claim 10 , wherein the adjusting the facility configuration further comprises performing at least one of a purchase or a sale transaction on a network bandwidth spot market.
15. The method of claim 10 , wherein the adjusting the facility configuration further comprises performing at least one of a purchase or a sale transaction on a spectrum spot market.
16. The method of claim 10 , wherein the adaptive learning system comprises at least one of a machine learning system or an artificial intelligence (AI) system.
17. The method of claim 10 , wherein adjusting the facility configuration further comprises performing at least one of a purchase or a sale transaction on a network bandwidth forward market.
18. The method of claim 10 , wherein the adjusting the facility configuration further comprises performing at least one of a purchase or a sale transaction on a spectrum forward market.
19. The system of claim 1 , wherein the adjusting the facility configuration further comprises adjusting the utilization of the at least one compute resource, the at least one additional facility resource, and an energy utilization to configure a transaction based on a forecasted most profitable sale on a spot or forward market associated with the energy generation and storage system.
20. The method of claim 10 , wherein the adjusting the facility configuration further comprises adjusting the utilization of the compute resource, the at least one additional facility resource, and an energy utilization to configure a transaction based on a forecasted most profitable sale on a spot or forward market associated with the energy generation and storage system.