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  • Search: subject:"Measure–correlate–predict"
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Subject
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Measure-correlate-predict 3 Wind resource assessment 2 Wind speed 2 Anemometry 1 Artificial Neural Network 1 Bivariate Weibull distribution 1 CFD 1 Coefficient of determination 1 Conditional distributions 1 Data mining 1 Joint probability mass functions 1 Long-term estimation 1 MCP uncertainty 1 Measure correlate predict 1 Measure-correlate-predict (MCP) method 1 Measure-correlate-predict method 1 Measure–correlate–predict 1 Measure–correlate–predict method 1 Performance evaluation 1 Regression analysis 1 Root relative squared error 1 Seasonal variations 1 Site assessment 1 Small-scale wind energy 1 Spatial correlation 1 Stratified cross-validation 1 Turbulence intensity 1 Variance Ratio Method 1 Weibull distribution 1 Wind direction 1 Wind energy 1 Wind energy cost 1 Wind resource 1 Wind speed forecasting 1 measure-correlate-predict 1 mesoscale 1 vertical profiling 1 wind mapping 1
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Undetermined 8 Free 1
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Article 9
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Undetermined 9
Author
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Carta, José A. 3 Velázquez, Sergio 3 Tomlin, A.S. 2 Weekes, S.M. 2 Cabrera, Pedro 1 Casella, Livio 1 Cárdenas, Diego 1 Dinler, Ali 1 Lackner, Matthew A. 1 Manwell, James F. 1 Matías, J.M. 1 Probst, Oliver 1 Rogers, Anthony L. 1
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Renewable Energy 4 Energy 2 Applied Energy 1 Energies 1 Renewable and Sustainable Energy Reviews 1
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RePEc 9
Showing 1 - 9 of 9
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State of the Art and Trends in Wind Resource Assessment
Probst, Oliver; Cárdenas, Diego - In: Energies 3 (2010) 6, pp. 1087-1141
Given the significant rise of the utilization of wind energy the accurate assessment of the wind potential is becoming increasingly important. Direct applications of wind assessment techniques include the creation of wind maps on a local scale (typically 5 20 km) and the micrositing of wind...
Persistent link: https://www.econbiz.de/10011031111
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Performance analysis of the first method for long-term turbulence intensity estimation at potential wind energy sites
Casella, Livio - In: Renewable Energy 74 (2015) C, pp. 106-115
examining different periods of the year. The tested methodology represents an important step through standardization of Measure-correlate-predict …
Persistent link: https://www.econbiz.de/10011076925
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Comparison between the bivariate Weibull probability approach and linear regression for assessment of the long-term wind energy resource using MCP
Weekes, S.M.; Tomlin, A.S. - In: Renewable Energy 68 (2014) C, pp. 529-539
A detailed investigation of a measure–correlate–predict (MCP) approach based on the bivariate Weibull (BW) probability …
Persistent link: https://www.econbiz.de/10010803810
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Data efficient measure-correlate-predict approaches to wind resource assessment for small-scale wind energy
Weekes, S.M.; Tomlin, A.S. - In: Renewable Energy 63 (2014) C, pp. 162-171
The feasibility of predicting the long-term wind resource at 22 UK sites using a measure-correlate-predict (MCP …
Persistent link: https://www.econbiz.de/10011044055
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A new low-correlation MCP (measure-correlate-predict) method for wind energy forecasting
Dinler, Ali - In: Energy 63 (2013) C, pp. 152-160
In the absence of long-term data, measure-correlate-predict methods are of great importance in the assessment of …
Persistent link: https://www.econbiz.de/10010808247
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A review of measure-correlate-predict (MCP) methods used to estimate long-term wind characteristics at a target site
Carta, José A.; Velázquez, Sergio; Cabrera, Pedro - In: Renewable and Sustainable Energy Reviews 27 (2013) C, pp. 362-400
So-called Measure-Correlate-Predict (MCP) methods have been extensively proposed in renewable energy related literature …
Persistent link: https://www.econbiz.de/10011049593
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A new probabilistic method to estimate the long-term wind speed characteristics at a potential wind energy conversion site
Carta, José A.; Velázquez, Sergio - In: Energy 36 (2011) 5, pp. 2671-2685
This paper proposes the use of a new Measure–Correlate–Predict (MCP) method to estimate the long-term wind speed …
Persistent link: https://www.econbiz.de/10011054983
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The round robin site assessment method: A new approach to wind energy site assessment
Lackner, Matthew A.; Rogers, Anthony L.; Manwell, James F. - In: Renewable Energy 33 (2008) 9, pp. 2019-2026
of measured data. This measured data set is then utilized in the measure-correlate-predict (MCP) process to predict the …
Persistent link: https://www.econbiz.de/10011045382
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Comparison between ANNs and linear MCP algorithms in the long-term estimation of the cost per kWh produced by a wind turbine at a candidate site: A case study in the Canary Islands
Velázquez, Sergio; Carta, José A.; Matías, J.M. - In: Applied Energy 88 (2011) 11, pp. 3869-3881
these wind speeds. The results were compared with those obtained with a linear Measure–Correlate–Predict (MCP) method. The …
Persistent link: https://www.econbiz.de/10011040534
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