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A capacity value is introduced which relates AEP to an integral function of the rated wind speed using Weibull distribution of wind speeds and the constant power coefficient of variable speed wind turbines.
In this paper, a Takagi Sugeno (T S) fuzzy system is designed to determine the contribution coefficient of variable speed wind turbine in such a way that variable wind turbine shares the maximum value of its inertia to compensate the reduced production in the power grid.
The coefficient of variable Sanc_Event is positive and statistically significant for the whole sample.
Negative values in the regression coefficients show that the indicated variables (MLogP and SpMax1_Bhi) contribute negatively to the value of pki, whereas positive value in the regression coefficient of variable (SpMin6_Bhm) indicates that the greater the value of the variable, the greater the value of the pki.
The variables were included in a multiple linear regression analysis as the initial model CREF = a + b1SLAT + b2CAR + b3HSIZE + b4LITTER, a being the regression constant (intercept) and bn the regression coefficient of variable number n. Fifty-five herds missed data for one or more of these variables, leaving 131 herds eligible for analysis.
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Results indicated that heat transfer coefficient of variable-diameter coil was 19.06% higher and average COP was 3.97% higher for this coil type.
δ-vector coefficient of variables, which indicates community level characteristics.
θ-vector coefficient of variables, which indicates household characteristics.
β-vector coefficient of variables, which indicates individual characteristics.
: Coefficient of variables; -2Log: Logarithm of chance.
The β value is the coefficient of variables in the Cox regression model, and the hazard ratio (HR) is the exp.
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