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Evaluation and Forecasting of Wind Energy Investment Risk along the Belt and Road Based on a Novel Hybrid Intelligent model

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Computer modeling in Engineering & Sciences 2021年第9期128卷 1069-1102页

作者： Liping Yan Wei-Chiang Hong Department of Economic Management North China Electric Power UniversityBaoding071000China Department of Industrial and Business Management Chang Gung UniversityTaoyuanTaiwan

The timely and effective investment risk assessment and forecasting are of great significance to ensure the investment safety and sustainable development of wind energy along the Belt and *** order to obtain the scientific and real-time forecasting result,this paper constructs a novel hybrid intelligent model based on improved cloud model combined with GRA-TOPSIS and ***,the factors influencing investment risk of wind energy along the Belt and Road are identified fromthree dimensions:endogenous risk,exogenous risk and process *** the fuzzy threshold method,the final input index system is ***,the risk evaluation method based on improved cloud model andGRA-TOPSIS is ***,a modern intelligent model based on MBA-WLSSVMis *** modified bat algorithm(MBA),tent chaotic map is utilized to improve the basic bat algorithm,while weighted least squares support vector machine(WLSSVM)adopts wavelet kernel function to replace the traditional radial basis function to complete the model ***,an example is given to verify the scientificity and accuracy of themodel,which is helpful for investors tomake fast and effective investment risk forecasting of wind energy along the Belt and *** example analysis proves that the proposedmodel can provide reference and basis for investment corpus to formulate the investment strategy in wind energy along the Belt and Road.

关键词： The belt and road wind power industry investment risk evaluation improved cloud model GRA TOPSIS WLSSVM MBA

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