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Management of the wind speed data using adaptive neuro-fuzzy methodology.
- Source :
-
Flow Measurement & Instrumentation . Aug2016, Vol. 50, p201-208. 8p. - Publication Year :
- 2016
-
Abstract
- In this paper, the accuracy of the Weibull model of wind speed is evaluated using an adaptive neuro-fuzzy inference system (ANFIS) based on wind data. The wind data comprises of wind speed measurements in the city of Nis in Serbia at different heights of 10 m, 30 m and 40 m for duration of one year. The ANFIS results are compared with the experimental results and Weibull model using root-mean-square error (RMSE), coefficient of determination, and Pearson coefficient. The effectiveness of the proposed unified strategy is verified based on the simulation results. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 09555986
- Volume :
- 50
- Database :
- Academic Search Index
- Journal :
- Flow Measurement & Instrumentation
- Publication Type :
- Academic Journal
- Accession number :
- 117799958
- Full Text :
- https://doi.org/10.1016/j.flowmeasinst.2016.07.002