Rolf D Miller

US Patent:

20040162675, Aug 19, 2004

Filed:

Nov 1, 2002

Appl. No.:

10/286473

Inventors:

Dennis Moon - Grand Rapids MN, US
Neil Lincoln - St. Paul MN, US
Rex Filstrup - St. Paul MN, US
Rolf Miller - Minneapolis MN, US
Eric Christeson - Fargo ND, US
Ningsheng Huang - Marshall MN, US
Michael Johnson - St. Paul MN, US
Brian Lincoln - Rough ?amp; Ready CA, US
John Makosky - Sioux Falls SD, US
Brian Smith - Portland OR, US
Elizabeth Wiethoff - Jackson Heights NY, US

International Classification:

G06F169/00

US Classification:

702/003000

Abstract:

A system for presenting meteorological information uses a browser interface to access massive amounts of weather-related data in the form of images stored on the server-side of the system. A user having a common browser on a Web client accesses the server-side information to selectively assemble weather-related data on multiple overlays of images and/or graphics into one simultaneous presentation on a Web page. The different overlays are normalized with respect to time and space, and a user can separately generate graphically miniaturized presentations of weather-related data for saving and subsequently recalling each presentation, wherein each presentation is displayed with current relativized data. The user can also select or customize derived variables to be distinctively displayed as part of a presentation.

US Patent:

20060173623, Aug 3, 2006

Filed:

Jan 31, 2006

Appl. No.:

11/343744

Inventors:

Matthew Grzych - Snoqualmie Pass WA, US
Dennis Moon - Grand Rapids MN, US
Neil Lincoln - Shoreview MN, US
Rolf Miller - Minneapolis MN, US

International Classification:

G01W 1/00

US Classification:

702003000

Abstract:

Enhanced meteorological measure-correlate-predict systems and methods. The systems and methods preferably consider publicly available, long-term data sets at each of a plurality of locations nearby a potential wind farm location. A test tower is preferably located at the potential location to collect a shorter-term data set, which, in combination with the long-term data set, is used to correlate and train embodiments of the systems and methods of the present invention using computational learning systems. Longer-term data can then be predicted for the potential wind farm location based on the correlation.