US6975925B1
Expired / Lapsed
US
⏱️ 0.0 years remaining
Forecasting an energy output of a wind farm
Assignee: Windlynx Systems BV
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Filing: 2003-03-19
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Granted: 2005-12-13
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Expires: 2023-03-19
Abstract
Abstract Methods and apparatus for forecasting an energy output of a wind farm. A method for forecasting an energy output of a wind farm includes maintaining a data base of wind patterns, each wind pattern being associated with an energy output that the wind farm produces. The method includes receiving a current wind pattern. The method includes searching the data base for a wind pattern that matches the current wind pattern. The method includes calculating a forecast energy output that the wind farm will produce in response to the current wind pattern, the calculation being based, when there is a matching wind pattern in the knowledge base, on the energy output associated with the matching wind pattern.
Inventors
- 👤 David L. Barnes
- 👤 Ruben Juarez
- 👤 John Wade
Bibliographic Details
Application Number
—
Jurisdiction
US
Data Source
google_patents
Last Synchronized
2026-11-02 07:06
CPC Classifications
G; G01; G01W; G01W1/00; G01W1/10; F; F03; F03D; F03D7/00; F03D7/02; F03D7/04; F03D7/042; F03D7/048; F05; F05B; F05B2260/00; F05B2260/80; F05B2260/82; F05B2260/821; F05B2270/00; F05B2270/30; F05B2270/335; Y; Y02; Y02E; Y02E10/00; Y02E10/70; Y02E10/72
Claims Analysis
Total Claims: 19
Claim 1
Independent Claim
95 words
A method for forecasting an energy output of a wind farm, the method comprising: maintaining a database of wind patterns, each wind pattern being associated with an energy output that the wind farm produces; receiving a current wind pattern; searching the database for a wind pattern that matches the current wind pattern; and calculating a forecast energy output that the wind farm will produce in response to the current wind pattern, the calculation being based, when there is a matching wind pattern in the database, on the energy output associated with the matching wind pattern.
Claim 2
Independent Claim
95 words
A method for forecasting an energy output of a wind farm, the method comprising: maintaining a database of wind patterns, each wind pattern being associated with an energy output that the wind farm produces; receiving a current wind pattern; searching the database for a wind pattern that matches the current wind pattern; and calculating a forecast energy output that the wind farm will produce in response to the current wind pattern, the calculation being based, when there is a matching wind pattern in the database, on the energy output associated with the matching wind pattern.
Claim 3
Dependent Claim
85 words
The method of claim 1 , wherein maintaining a database includes receiving and storing wind patterns and energy outputs, the method further comprising: identifying received wind patterns that are erroneous, the identifying being based on one of a range test, a relational test, and a trend test; identifying received energy outputs that are erroneous; the identifying being based on one of a range test, a relational test, and a trend test; and removing from the database the wind patterns and energy outputs identified as erroneous.
Claim 4
Dependent Claim
19 words
The method of claim 1 , further comprising: determining how many wind patterns to associate with each energy output.
Claim 5
Dependent Claim
79 words
The method of claim 3 , wherein wind patterns in the database are categorized into categories, each category having one energy output that is associated with all wind patterns of the category; the method further comprising: when there is no wind pattern in the database that matches the current wind pattern, identifying the category to which the current wind pattern belongs and adding the current wind pattern to the database as an additional wind pattern of the category identified.
Claim 6
Dependent Claim
61 words
The method of claim 3 , wherein a neural network determines how many wind patterns to associate with each energy output, the method further comprising: adjusting the neural network to change a resolution at which the neural network can distinguish different wind patterns, the resolution determining whether the current wind pattern matches with one of the wind patterns in the database.
Claim 7
Dependent Claim
35 words
The method of claim 5 , wherein: the neural network is a variation of the Perceptron, the variation including threshold knobs that determines the resolution; and adjusting the neural networks includes adjusting the threshold knobs.
Claim 8
Dependent Claim
34 words
The method of claim 5 , further comprising: receiving an actual energy output the wind farm produces in response to the current wind pattern, wherein the adjusting is based on the actual energy output.
Claim 9
Dependent Claim
12 words
The method of claim 7 , wherein: adjusting includes applying Bayesian logic.
Claim 10
Dependent Claim
38 words
The method of claim 1 , further comprising: receiving an actual energy output the wind farm produces in response to the current wind pattern; and updating a probability that the wind farm will produce the forecast energy output.
Claim 11
Dependent Claim
12 words
The method of claim 9 , wherein: updating includes applying Bayesian logic.
Claim 12
Dependent Claim
45 words
The method of claim 1 , further comprising: receiving information from an upwind sentry; detecting a trend from the received information; updating the current wind pattern based on the trend; and searching the database for a wind pattern that matches the updated current wind pattern.
Claim 13
Dependent Claim
64 words
The method of claim 1 , further comprising: when there is no wind pattern in the database that matches the current wind pattern, identifying a wind pattern that is closest to matching the current wind pattern, wherein the calculation of forecast energy output is based on the energy output associated with the wind pattern identified as being closest to matching the current wind pattern.
Claim 14
Dependent Claim
107 words
A computer program product, tangibly stored on machine-readable medium, for forecasting an energy output of a wind farm, the product includes instructions operable to cause a processor to: maintain a database of wind patterns, each wind pattern associated with an energy output that the wind farm produces; receive a current wind pattern; search the database for a wind pattern that matches the current wind pattern; calculate a forecast energy output that the wind farm will produce in response to the current wind pattern, the calculation being based, when there is a matching wind pattern in the database, on the energy output associated with the matching wind pattern.
Claim 15
Dependent Claim
107 words
A computer program product, tangibly stored on machine-readable medium, for forecasting an energy output of a wind farm, the product includes instructions operable to cause a processor to: maintain a database of wind patterns, each wind pattern associated with an energy output that the wind farm produces; receive a current wind pattern; search the database for a wind pattern that matches the current wind pattern; calculate a forecast energy output that the wind farm will produce in response to the current wind pattern, the calculation being based, when there is a matching wind pattern in the database, on the energy output associated with the matching wind pattern.
Claim 16
Independent Claim
103 words
A system for forecasting an energy output of a wind farm, comprising: instruments operable to measure a current wind pattern over a wind farm; a neural network having a knowledge base of wind patterns and energy outputs, each wind pattern being associated with one energy output; and a network operable to send the current wind pattern to the neural network, wherein the neural network is operable to identify a wind pattern in the knowledge base that matches the current wind pattern and, furthermore, calculate a forecast energy output using the energy output associated with the wind pattern that matches the current wind pattern.
Claim 17
Independent Claim
103 words
A system for forecasting an energy output of a wind farm, comprising: instruments operable to measure a current wind pattern over a wind farm; a neural network having a knowledge base of wind patterns and energy outputs, each wind pattern being associated with one energy output; and a network operable to send the current wind pattern to the neural network, wherein the neural network is operable to identify a wind pattern in the knowledge base that matches the current wind pattern and, furthermore, calculate a forecast energy output using the energy output associated with the wind pattern that matches the current wind pattern.
Claim 18
Dependent Claim
81 words
The system of claim 14 , further comprising: instruments operable to measure the energy output the wind farm actually produces in response to the current wind pattern, wherein the network is operable to send the measured energy output to the neural network, and wherein the neural network is operable to adjust, based on the energy output the wind farm actually produces, a probability that the forecast energy output is the same as the energy output that the wind farm actually produces.
Claim 19
Dependent Claim
16 words
The system of claim 14 , wherein: the knowledge base is a variation of the Perceptron.
References Cited (Backward Citations)
US20020029097A1
Cited
US20030105556A1
Cited
USPTO Annuity & Maintenance Windows
| Annuity Stage | Window Opens | Payment Deadline | Surcharge Period Until | Estimated Fee | Status |
|---|---|---|---|---|---|
| 3.5 Years (Year 4) | 2008-12-12 | 2009-06-13 | 2009-12-13 | $2000.00 | Window Closed / Lapsed |
| 7.5 Years (Year 8) | 2012-12-12 | 2013-06-13 | 2013-12-13 | $3760.00 | Window Closed / Lapsed |
| 11.5 Years (Year 12) | 2016-12-12 | 2017-06-13 | 2017-12-13 | $7700.00 | Window Closed / Lapsed |