Risk Assessment of Renewable Energy Investment Based on Fuzzy C-means Clustering Algorithm

In order to realize the investment risk evaluation of renewable energy power generation projects, a renewable energy investment risk evaluation method based on fuzzy C mean clustering algorithm is proposed. The method is based on the whole life cycle theory, on the basis of establishing renewable energy common risk index system, construction of renewable energy investment risk evaluation information system, and through fuzzy C mean clustering algorithm and rough set of corresponding processing of evaluation index, determine the key risk index of high investment evaluation project and weight, and obtain the comprehensive value of investment projects. The results show that this method can determine the corresponding comprehensive evaluation value according to the objective data of the evaluation object, and the evaluation results have certain rationality and accuracy, which can provide a reference for the investment selection of renewable energy power generation projects.