Data processing: measuring – calibrating – or testing – Measurement system in a specific environment – Earth science
Reexamination Certificate
2007-06-05
2007-06-05
McElheny, Jr., Donald (Department: 2857)
Data processing: measuring, calibrating, or testing
Measurement system in a specific environment
Earth science
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.
Grzych Matthew L.
Lincoln Neil R.
Miller Rolf D.
Moon Dennis A.
McElheny Jr. Donald
Windlogics, Inc.
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