结合主成分分析及生产函数的电网智能技术评价探讨

为科学合理评价智能技术总体发展水平及其对智能电网经济效益带来的促进作用,文中提出一种利用主成分分析理论改进的广义生产函数模型。该模型对投入产出要素下的多元评价指标体系进行降维和去相关处理,利用重构后的综合主成分评价指标量进行基于广义生产函数模型的智能技术发展水平测算,通过索洛余值法求解智能技术进步率及其对产出的贡献度,根据希克斯定义测算智能技术进步倾向,最终规划出电网智能技术评价流程。相关算例验证了该评价方法的正确性与可行性。

Discussion on Intelligent Technology Evaluation of Electrical Power Grid Based on Principal Component Analysis and Production Function

In order to evaluate the overall level of the development of intelligent technology and its role in promoting the economic benefits brought on the smart grid, a generalized production function model improved by principal component analysis (PCA) theory is proposed in this paper. The model can decorrelate and reduce dimension of the multivariate evaluation indicators of the elements of the input and output. Then using the reconstructed multiple comprehensive evaluation indicators of principal components to measure the development level of intelligent technology based on generalized production function model. Solve the intelligent rate of technological progress and its contribution to revenue by the Solow residual method, and estimate the tendency of smart technology progress according to Hicks definition. Finally, plan out a flow chart of the smart technology assessment. Related examples verify the correctness and feasibility of the evaluation method.