Evaluation of Electric Network Intelligence Developing Level Based on SVM Method
The construction of a strong smart grid is an inevitable trend of Chinas power grid development. It is not only conducive to the power grid construction itself, but also benefits the whole electric power industrial development, sustainable development and social harmony and stable development. This paper gives the electric network intelligence developing level evaluation system from the basis size, technology support capability and intelligent application results of smart grid, and the support vector machines (SVM) classification model is used to evaluate the level. Comparing with BP evaluation model, the experimental results show that SVM has better performance than BP, it is more suitable for the evaluation.
electric power grid intelligence developing level support vector machines evaluation
Dongxiao Niu Hui Tang Jianjun Wang
School of Economics and Management, North China Electric Power University, Beijing 102206 China
国际会议
武汉
英文
201-204
2010-06-06（万方平台首次上网日期，不代表论文的发表时间）