Application of Fuzzy-RBF-CNN Ensemble Model for Short-Term Load Forecasting

Table 2

Fuzzy clustering algorithm.

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(1) Load the membership function for each variable M

(2) Load input data set

(3) Select input variable x_i randomly

(4) Determine output variable M (x_i)

(5) Chose membership function of maximum output

(6) Develop first layer rule

(7) Calculate S (i, k) for each variable using equation (1)

(8) Determine Smax (i) for each x (i)

(9) Determine x (i′) for minima of Smax (i)

(10) Determine output variable M (x_i)

(11) Chose membership function for each variable having maximum output

(12) Develop next rule

(13) From equation (1), calculate S (i, k) for each variable

(14) Min Smax (i) < S_TH

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