Abstract
For the particularity of electric power enterprises themselves, the commonly methods used to forecast their financial risk is limited and inadequate. To forecast the financial risk of the power enterprises scientifically and accurately, this paper establishes a financial risk evaluation index system with the camel rating thinking, and then describes the adaptive genetic algorithm (AGA) evaluation mechanism. In this paper, we take the financial risk index data as the network operator samples. The financial risk forecast of 4 power enterprises in National Power Company shows that the improved model is stable and reliable, and this method to forecast the financial risk of the power enterprises is feasible.
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