Effect Evaluation and Intelligent Prediction of Power Substation Project Considering New Energy

作     者：Huiying Wu Meihua Zou Ye Ke Wenqi Ou Yonghong Li Minquan Ye 

作者机构：State Grid Fujian Economic Research InstituteFuzhou350000China 

出 版 物：《Computer Modeling in Engineering & Sciences》 (工程与科学中的计算机建模（英文）)

年 卷 期：2022年第132卷第9期

页      面：739-761页

核心收录：

学科分类：02[经济学] 0202[经济学-应用经济学] 0701[理学-数学] 

基　　金：The authors received no specific funding for this study. 

主　　题：New energy substation implementation effect evaluation and intelligent prediction improved topsis LSTM SWA 

摘      要：The evaluation of the implementation effect of the power substation project can find out the problems of the project more comprehensively,which has important practical significance for the further development of the power substation project.To ensure accuracy and real-time evaluation,this paper proposes a novel hybrid intelligent evaluation and prediction model based on improved TOPSIS and Long Short-Term Memory(LSTM)optimized by a Sperm Whale Algorithm(SWA).Firstly,under the background of considering the development of new energy,the influencing factors of power substation project implementation effect are analyzed from three aspects of technology,economy and society.Moreover,an evaluation model based on improved TOPSIS is constructed.Then,an intelligent prediction model based on SWA optimized LSTM is designed.Finally,the scientificity and accuracy of the proposed model are verified by empirical analysis,and the important factors affecting the implementation effect of power substation projects are pointed out.