Evaluation of Electric Network Intelligence Developing Level Based on SVM Method

摘要

The construction of a strong smart grid is an inevitable trend of China's 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.