Patent ID: 9229133
Filing Date: 2016-01-05
CPC Classification: G01W,Y02A

Claim Text:
1. A method for forecasting a meteorological parameter, wherein the method comprises steps of: analyzing geographically distributed sensor network data across two sensors within a first geographic region to assess spatial and temporal variation of cloud movement in real-time, wherein said sensor network data comprise solar panel power output; determining a correlation across the two sensors by identifying a temporal and spatial evolution of the cloud movement across the two sensors via: determining a strength of the correlation across the two sensors; determining an extension of the correlation to one or more additional sensors within the first geographic region via: forecasting the cloud movement across the first geographic region based on (i) each determined correlation and (ii) the determined strength of each determined correlation; updating, in real-time, a model comprising satellite data for forecasting weather across a second geographic region based on said forecasting of the cloud movement across the first geographic region, wherein said second geographic region encompasses the first geographic region and one or more additional geographic regions; and outputting the forecasted cloud movement to at least one of a user and a display; wherein the steps are carried out by a computer device linked to the geographically distributed sensor network.