1. A computer-implemented method of modeling one or more events using synthetic variables, the computer-implemented method comprising:
providing, at a processor, a language to represent a plurality of synthetic variables, wherein the language identifies one or more selection phrases;
creating, at the processor, the plurality of synthetic variables using the language, wherein each synthetic variable comprises a structured chain of one or more elements, wherein the structured chain acts as a map from input data to output data,
evaluating, at the processor, the plurality of synthetic variables, wherein each synthetic variable is evaluated to a single value; and
creating, at the processor, one or more models based on the evaluated plurality of synthetic variables.
2. The computer-implemented method of claim 1, wherein a representation of the language comprises a selection phrase grammar.
3. The computer-implemented method of claim 2, wherein the representation of the language comprises identifying aggregation operators.
4. The computer-implemented method of claim 1, wherein the creating the plurality of synthetic variables using the language further comprises evaluating a field element.
5. The computer-implemented method of claim 4, wherein the creating the plurality of synthetic variables further comprises evaluating a selector.
6. The computer-implemented method of claim 5, wherein the creating the plurality of synthetic variables further comprises evaluating a function.
7. The computer-implemented method of claim 6, wherein the creating the plurality of synthetic variables further comprises evaluating a variable.
8. The computer-implemented method of claim 1, wherein each model of the one or more models comprises a Bayesian network model.
9. The computer-implemented method of claim 1, wherein the creating the plurality of synthetic variables further comprises using syntactic filters.
10. The computer-implemented method of claim 1, wherein the creating the plurality of synthetic variables further comprises data driven filtering.
11. A system, comprising:
a processor; and
a computer-readable medium comprising a set of instructions configured to instruct the processor to:
provide a language to represent a plurality of synthetic variables, wherein the language identifies one or more selection phrases;
create the plurality of synthetic variables using the language, wherein each synthetic variable comprises a structured chain of one or more elements, wherein the structured chain acts as a map from input data to output data,
evaluate the plurality of synthetic variables, wherein each synthetic variable is evaluated to a single value; and
create one or more models based on the evaluated plurality of synthetic variables.
12. The system of claim 11, wherein a representation of the language comprises a selection phrase grammar.
13. The system of claim 12, wherein the representation of the language comprises identifying aggregation operators.
14. The system of claim 11, wherein the set of instructions is further configured to instruct the processor to evaluate a field element.
15. The system of claim 14, wherein the set of instructions is further configured to instruct the processor to evaluate a selector.
16. The system of claim 15, wherein the set of instructions is further configured to instruct the processor to evaluate a function.
17. The system of claim 16, wherein the set of instructions is further configured to instruct the processor to evaluate a variable.
18. The system of claim 11, wherein each model of the one or more models comprises a Bayesian network model.
19. The system of claim 11, wherein the set of instructions is further configured to instruct the processor to use syntactic filters.
20. The system of claim 11, wherein the set of instructions is further configured to instruct the processor to use data driven filtering.
21. A computer-readable medium having instructions stored thereon that, when executed by a processor, cause to processor to model one or more events using synthetic variables, the instructions comprising:
providing a language to represent a plurality of synthetic variables, wherein the language identifies one or more selection phrases;
creating the plurality of synthetic variables using the language, wherein each synthetic variable comprises a structured chain of one or more elements, wherein the structured chain acts as a map from input data to output data,
evaluating the plurality of synthetic variables, wherein each synthetic variable is evaluated to a single value; and
creating one or more models based on the evaluated plurality of synthetic variables.
22. The computer-readable medium of claim 21, wherein a representation of the language comprises a selection phrase grammar.
23. The computer-readable medium of claim 22, wherein the representation of the language comprises identifying aggregation operators.
24. The computer-readable medium of claim 21, wherein the creating the plurality of synthetic variables using the language further comprises evaluating a field element.
25. The computer-readable medium of claim 24, wherein the creating the plurality of synthetic variables further comprises evaluating a selector.
26. The computer-readable medium of claim 25, wherein the creating the plurality of synthetic variables further comprises evaluating a function.
27. The computer-readable medium of claim 26, wherein the creating the plurality of synthetic variables further comprises evaluating a variable.
28. The computer-readable medium of claim 21, wherein each model of the one or more models comprises a Bayesian network model.
29. The computer-readable medium of claim 21, wherein the creating the plurality of synthetic variables further comprises using syntactic filters.
30. The computer-readable medium of claim 21, wherein the creating the plurality of synthetic variables further comprises data driven filtering.
The claims below are in addition to those above.
All refrences to claim(s) which appear below refer to the numbering after this setence.
1. A load balancing system comprising:
a transformer comprising a plurality of sensors integrated therewith; and
a control system in electrical communication with the plurality of sensors and configured to estimate or determine the state of health of the transformer in response to signals generated via the plurality of sensors and further configured to compare a load request received from one or more loads to the state of transformer health to determine if the transformer can support the load request, and further to acknowledge or agree to provide electrical power to meet the load request or request agreement from the one or more loads to modify the load request.
2. The load balancing system according to claim 1, further comprising a state estimator configured to determine the state of health based upon the signals generated via the plurality of sensors.
3. The load balancing system according to claim 1, wherein the load request is communicated to the control system via at least one of a power line carrier (PLC) and a wireless carrier.
4. The load balancing system according to claim 1, wherein the control system is integrated with the transformer.
5. The load balancing system according to claim 1, wherein the control system is independent from the transformer.
6. The load balancing system according to claim 1, wherein the transformer is a residential neighborhood transformer servicing a plurality of homes.
7. The load balancing system according to claim 1, wherein the load request is generated by one or more plug-in electric vehicle charging systems.
8. The load balancing system according to claim 1, wherein the load request is based upon one or more residential loads.
9. The load balancing system according to claim 1, wherein the control system comprises:
one or more memory units configured to store a state estimator, state of transformer health data, and sensor signal data;
one or more analogdigital converters configured to generate the sensor signal data in response to the sensor signals;
a plurality of inputoutput ports in electrical communication with the plurality of sensors; and
a processor configured to process the sensor signal data to generate the state of transformer health data.
10. The load balancing system according to claim 1, further comprising a distribution management system configured to balance a grid load based upon the state of transformer health.
11. The load balancing system according to claim 1, wherein the modified load request is selected from a disapproved load condition, and a modified load condition.
12. A load balancing system comprising:
a transformer comprising a plurality of sensors integrated therewith;
a communications and control system embedded within the transformer, the communications and control system in electrical communication with the plurality of sensors and configured to estimate or determine the state of health of the transformer based upon signals generated via the plurality of sensors and to compare a load request from one or more loads to the state of transformer health to determine if the transformer can support the load request, and further to acknowledge or agree to provide electrical power to meet the load request or request agreement from the one or more loads to modify the load request; and
a distribution management system configured to balance a grid load based upon the state of transformer health.
13. The load balancing system according to claim 12, further comprising a state estimator configured to determine the state of health based upon the signals generated via the plurality of sensors.
14. The load balancing system according to claim 12, wherein the distribution management system is further configured to balance the grid load based upon a load request approval status.
15. The load balancing system according to claim 14, wherein the load request approval status is selected from an approved load condition, a disapproved load condition, and a modified load condition.
16. The load balancing system according to claim 12, wherein the load request is generated by one or more plug-in electric vehicle charging systems.
17. The load balancing system according to claim 12, wherein the load request is based upon one or more residential loads.
18. The load balancing system according to claim 12, wherein the control system comprises:
one or more memory units configured to store a state estimator, state of transformer health data, and sensor signal data;
one or more analogdigital converters configured to generate the sensor signal data in response to the sensor signals;
a plurality of inputoutput ports in electrical communication with the plurality of sensors; and
a processor configured to process the sensor signal data to generate the state of transformer health data.
19. A method of transformer load balancing, the method comprising:
providing a transformer comprising a plurality of sensors integrated therewith;
providing a control system in electrical communication with the plurality of sensors;
estimating or determining the state of health of the transformer via the control system in response to signals received from the plurality of sensors;
comparing a load request received from one or more loads to the state of transformer health to determine if the transformer can support the load request; and
acknowledging or agreeing to provide electrical power to meet the load request or requesting agreement from the one or more loads to modify the load request based on the state of transformer health.
20. The method of transformer load balancing according to claim 19, further comprising generating the load request via one or more plug-in electric vehicle charging systems.