Technologies for dynamic forecasting, aggregation, and validation
Technologies for dynamic forecasting, aggregation, and validation may include circuitry configured to collect data indicative of power flows at multiple locations in an electrical grid, to receive one or more parameters for generation of a customized forecast indicative of predicted power flows associated with one or more of the multiple locations over a defined time period, to select a subset of the collected data that satisfies the one or more parameters, to produce a model to predict power flows in the electrical grid associated with the one or more locations, to determine whether the model is validated by determining whether a predicted production of power minus predicted losses is within a predefined range of a predicted consumption of power at the one or more locations, and to produce the customized forecast of predicted power flows associated with the one or more locations for the defined time period.
1. An apparatus comprising:
circuitry configured to:
collect data indicative of power flows at multiple locations in an electrical grid;
receive one or more parameters for generation of a customized forecast indicative of predicted power flows associated with one or more of the multiple locations in the electrical grid over a defined time period;
select a subset of the collected data, wherein the subset satisfies the one or more parameters;
produce, from the selected subset of the collected data, a model to predict power flows in the electrical grid associated with the one or more locations;
determine whether the model is validated by determining whether a predicted production of power minus predicted losses is within a predefined range of a predicted consumption of power at the one or more locations in the electrical grid; and
produce, in response to a determination that the model is validated and based on the one or more parameters, the customized forecast of predicted power flows associated with the one or more locations for the defined time period.
2. The apparatus of claim 1 , wherein to collect data indicative of power flows comprises to collect data indicative of power production from at least one of the multiple locations in the electrical grid.
3. The apparatus of claim 1 , wherein to collect data indicative of power flows comprises to collect data indicative of power consumption from at least one of the multiple locations in the electrical grid.
4. The apparatus of claim 1 , wherein to collect data indicative of power flows comprises to collect data indicative of power flows from one or more feeders of the electrical grid.
5. The apparatus of claim 1 , wherein to collect data indicative of power flows comprises to store, in association with the collected data, metadata indicative of attributes of sources of the collected data.
6. The apparatus of claim 5 , wherein to store metadata comprises to store metadata indicative of a location in the electrical grid.
7. The apparatus of claim 5 , wherein to store metadata comprises to store metadata indicative of a type of electrical equipment.
8. The apparatus of claim 7 , wherein to store metadata indicative of a type of electrical equipment comprises to store metadata indicative of electrical equipment that produces power.
9. The apparatus of claim 7 , wherein to store metadata indicative of a type of electrical equipment comprises to store metadata indicative of electrical equipment that consumes power.
10. The apparatus of claim 7 , wherein to store metadata indicative of a type of electrical equipment comprises to store metadata indicative of electrical equipment that loses power.
11. The apparatus of claim 1 , wherein the circuitry is further to store data indicative of weather in association with the data indicative of power flows in the electrical grid.
12. The apparatus of claim 1 , wherein to receive one or more parameters comprises to receive one or more parameters indicative of the one or more locations in the power grid to which the customized forecast is to relate.
13. The apparatus of claim 1 , wherein to receive one or more parameters comprises to receive one or more types of electrical equipment to which the customized forecast is to relate.
14. The apparatus of claim 1 , wherein to receive one or more parameters comprises to receive one or more power consumers to which the customized forecast is to relate.
15. The apparatus of claim 1 , wherein to receive one or more parameters comprises to receive one or more power producers to which the customized forecast is to relate or to receive one or more feeders of the electrical grid to which the customized forecast is to relate.
16. The apparatus of claim 1 , wherein to select a subset of the collected data that satisfies the one or more parameters comprises to select a subset of data associated with metadata that matches the one or more parameters.
17. The apparatus of claim 1 , wherein to produce a model comprises to identify a trend in power flows for the selected subset of the collected data or to identify one or more effects of weather on power flows for the selected subset of the collected data.
18. The apparatus of claim 1 , wherein the circuitry is further configured to collect data indicative of a configuration of the electrical grid, a capacity of the electrical grid, one or more environment conditions, a state of the electrical grid, or an expert assessment of the electrical grid.
19. A method comprising:
collecting, by an apparatus, data indicative of power flows at multiple locations in an electrical grid;
receiving, by the apparatus, one or more parameters for generation of a customized forecast indicative of predicted power flows associated with one or more of the multiple locations in the electrical grid over a defined time period;
selecting, by the apparatus, a subset of the collected data, wherein the subset satisfies the one or more parameters;
producing, by the apparatus and from the selected subset of the collected data, a model to predict power flows in the electrical grid associated with the one or more locations;
determining, by the apparatus, whether the model is validated by determining whether a predicted production of power minus predicted losses is within a predefined range of a predicted consumption of power at the one or more locations in the electrical grid; and
producing, by the apparatus and in response to a determination that the model is validated and based on the one or more parameters, the customized forecast of predicted power flows associated with the one or more locations for the defined time period.
20. One or more non-transitory machine-readable storage media comprising a plurality of instructions stored thereon that, in response to being executed, cause an apparatus to:
collect data indicative of power flows at multiple locations in an electrical grid; receive one or more parameters for generation of a customized forecast indicative
of predicted power flows associated with one or more of the multiple locations in the electrical grid over a defined time period;
select a subset of the collected data, wherein the subset satisfies the one or more parameters;
produce, from the selected subset of the collected data, a model to predict power flows in the electrical grid associated with the one or more locations;
determine whether the model is validated by determining whether a predicted production of power minus predicted losses is within a predefined range of a predicted consumption of power at the one or more locations in the electrical grid; and
produce, in response to a determination that the model is validated and based on the one or more parameters, the customized forecast of predicted power flows associated with the one or more locations for the defined time period.