Title:
SYSTEM AND METHOD FOR ENHANCED MEASURE-CORRELATE-PREDICT FOR A WIND FARM LOCATION
Document Type and Number:
WIPO Patent Application WO2006083943
Kind Code:
A3
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.
Inventors:
GRZYCH MATTHEW LAURENCE (US)
MOON DENNIS ALLAN (US)
LINCOLN NEIL ROBERT (US)
MILLER ROLF DANIEL (US)
MOON DENNIS ALLAN (US)
LINCOLN NEIL ROBERT (US)
MILLER ROLF DANIEL (US)
Application Number:
PCT/US2006/003511
Publication Date:
December 07, 2006
Filing Date:
February 01, 2006
Export Citation:
Assignee:
WINDLOGICS INC (US)
GRZYCH MATTHEW LAURENCE (US)
MOON DENNIS ALLAN (US)
LINCOLN NEIL ROBERT (US)
MILLER ROLF DANIEL (US)
GRZYCH MATTHEW LAURENCE (US)
MOON DENNIS ALLAN (US)
LINCOLN NEIL ROBERT (US)
MILLER ROLF DANIEL (US)
International Classes:
G01W1/00
Other References:
PINSON ET AL.: "Wind Power Forecasting using Fuzzy Neural Networks Enhanced with Online Presiction Risk Assessment", IEEE BOLOGNA POWER TECH CONFERENCE, 23 June 2003 (2003-06-23) - 26 June 2003 (2003-06-26), pages 8, XP008074043
See also references of EP 1851571A4
See also references of EP 1851571A4
Download PDF: