Patent ID: 11860334
Assignee: QUISNET, INC.
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 0:
1. A method comprising:
running multiple clusters of AI's to predict weather states, with the clusters of AI's having different initial training using weather forecasts, wherein each AI within each cluster of AI's is differently trained based on different training sets that are set to negate different unknown factors in a prediction area;
achieving consensus by comparing the weather states predicted by each of the clusters of AI's with a corresponding set of real-world observations;
selecting those clusters of AI's having predicted weather states which fit to a predetermined extent with the set of real-world observations;
selecting a subset of weather forecasts from the weather states that are consistent with the set of real-world observations;
producing a weather forecast from the subset of weather forecasts subsequently predicted by the selected clusters of AI's;
classifying the weather states by adding and removing subsets of weather components and registering constants in observation data; and
calculating global baseline predictions based on the classified weather states, using the selected clusters of AI's.