System and method for enhanced measure-correlate-predict for...

Data processing: measuring – calibrating – or testing – Measurement system in a specific environment – Earth science

Reexamination Certificate

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

Reexamination Certificate

active

11343744

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.

REFERENCES:
patent: 6975925 (2005-12-01), Barnes et al.
patent: 2002/0194113 (2002-12-01), Lof et al.
patent: 2003/0160457 (2003-08-01), Ragwitz et al.
patent: 2005/0108150 (2005-05-01), Pethick et al.
patent: 2005/0234762 (2005-10-01), Pinto et al.
Pinson et al., “Wind Power Forecasting using Fuzzy Neural Networks Enhanced with On-line Prediction Risk Assessment”, 2003 IEEE Bologna Power Tech Conference, Jun. 23-26, 2003, 8 pages.
Milligan et al., “Statistical Wind Power Forecasting for U.S. Wind Farms,” National Renewable Energy Laboratory, Jan. 11-15, 2004, 11 pages.
Larson and Gneiting, “Statistical Algorithms for Short-Term Wind Energy Forecasting,” 17th Conference on Probablity and Statistics in the Atmospheric Sciences, 2004, 2 pages.
Gregor Giebal, “The State-of-the-Art in Short-Term Prediction of Wind Power,” Project ANEMOS, Aug. 12, 2003, 36 pages.
Li et al., “Comparative Analysis of Regression and Artificial Neural Network Models for Wind Turbine Power Curve Estimation,” Journal of Solar Energy Engineering, Copyright 2001, 6 pages.
Murto, “Neural Network Models for Short-Term Load Forecasting,” Helsinki University of Technology, Jan. 5, 1998, 92 pages.
Li et al., “Using Neural Networks to Estimate Wind Turbine Power Generation,” IEEE Transactions on Energy Conversion, vol. 16, No. 3, Sep. 2001, 7 pages.
Damousis et al., “A Fuzzy Model for Wind Speed Prediction and Power Generation in Wind Parks Using Spatial Correlation,” IEEE Transactions on Energy Conversion, vol. 19, Issue 2, Jun. 2004, 10 pages.

LandOfFree

Say what you really think

Search LandOfFree.com for the USA inventors and patents. Rate them and share your experience with other people.

Rating

System and method for enhanced measure-correlate-predict for... does not yet have a rating. At this time, there are no reviews or comments for this patent.

If you have personal experience with System and method for enhanced measure-correlate-predict for..., we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and System and method for enhanced measure-correlate-predict for... will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFUS-PAI-O-3819867

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.