浙江电力2024，Vol.43Issue(1)：72-79,8.DOI:10.19585/j.zjdl.202401009
基于改进DHNN模型的售电公司信用评价
Credit evaluation of electricity sales companies based on an enhanced DHNN model
摘要
Abstract
To standardize the market conduct of electricity sales companies and elevate the power market manage-ment level,it is essential to conduct a credit evaluation of these companies.Therefore,based on Box-plot and or-thogonalization methods,a credit evaluation model based on an enhanced discrete Hopfield neural network(DHNN)is proposed.Firstly,factors influencing the credit levels of electricity sales companies are analyzed,and a credit evaluation index system,which includes 11 indicators such as basic information,foundational management,contract management,and transaction management,is established.The weights for these indicators are determined using the Delphi method.Secondly,outliers in the indicators of electricity sales companies are addressed to derive optimal credit scores,enabling an objective assessment of their credit levels.Finally,the feasibility of the proposed model is verified through case studies.The results indicate that the model can objectively and accurately evaluate the credit levels of electricity sales companies.关键词
售电公司/电力市场/信用评价/德尔菲法/箱形图/离散型霍普菲尔德神经网络Key words
electricity sales company/electricity market/credit evaluation/Delphi method/Box-plot/DHNN引用本文复制引用
李源,蓝歆格,尹纯亚,商侨晏,王森,戚格瑞,葛祥一..基于改进DHNN模型的售电公司信用评价[J].浙江电力,2024,43(1):72-79,8.基金项目
新疆维吾尔自治区重点研发计划(2022B01016-3) （2022B01016-3）
新疆维吾尔自治区青年科学基金(2022D01C85) （2022D01C85）
