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Information Journal Paper

Title

EVALUATION OF OPTIMAL FUZZY MEMBERSHIP FUNCTION FOR WIND SPEED FORECASTING

Pages

  125-130

Abstract

 In this paper, a new approach is proposed in order to select an optimal membership function for inputs of WIND SPEED PREDICTION system. Then using a fuzzy method and the stochastic characteristics of wind speed in the previous year, the wind speed modeling is performed and the wind speed for the future year will be predicted. In this proposed method, the average and the standard deviation of inputs data are calculated. The membership function shape and the domain intervals are evaluated using the variance of system. This technique prevents from trial and error method for defining the shape and domain intervals of optimal membership function and helps to achieve the desired prediction in a quick way. The wind speed is estimated in the fuzzy inference system and simulated with the FUZZY LOGIC. The sensitivity analyses are performed by changing the input parameters and membership functions shape and the results are compared. The results demonstrate that this new prediction method is a fast and applicable method compared to the other methods since the calculated error will be more than the error of this method if the shape and domain interval of membership function are changed.

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  • Cite

    APA: Copy

    JAVADI, SHAHRAM, & HOJJATINIA, ZEINAB. (2012). EVALUATION OF OPTIMAL FUZZY MEMBERSHIP FUNCTION FOR WIND SPEED FORECASTING. INTERNATIONAL JOURNAL OF SMART ELECTRICAL ENGINEERING, 1(2), 125-130. SID. https://sid.ir/paper/611853/en

    Vancouver: Copy

    JAVADI SHAHRAM, HOJJATINIA ZEINAB. EVALUATION OF OPTIMAL FUZZY MEMBERSHIP FUNCTION FOR WIND SPEED FORECASTING. INTERNATIONAL JOURNAL OF SMART ELECTRICAL ENGINEERING[Internet]. 2012;1(2):125-130. Available from: https://sid.ir/paper/611853/en

    IEEE: Copy

    SHAHRAM JAVADI, and ZEINAB HOJJATINIA, “EVALUATION OF OPTIMAL FUZZY MEMBERSHIP FUNCTION FOR WIND SPEED FORECASTING,” INTERNATIONAL JOURNAL OF SMART ELECTRICAL ENGINEERING, vol. 1, no. 2, pp. 125–130, 2012, [Online]. Available: https://sid.ir/paper/611853/en

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