KEYWORDS: Data modeling, Error analysis, Differential equations, Systems modeling, Statistical modeling, Process modeling, Matrices, Data centers, Probability theory, Light sources and illumination
The Grey model GM(1,1) is always used in dynamic prediction of grey system. But actually, it is difficult for transmission and distribution loss to grow exactly as GM(1,1), which makes loss of prediction accuracy and limits its application in reality. By combining GM(1,1) with the Markov model, we predict the transmission and distribution loss. The result indicates: the Grey-Markov model can improve the prediction accuracy of transmission and distribution loss.
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