Research on User Feature Analysis Technology for Electricity Substitution Based on Machine Learning
Explore the technology and application of analyzing the characteristics of electricity substitution users to promote the sustainable development and application of electricity substitution.Analyze various factors that affect the potential for electricity substitution and establish corresponding evaluation models.By using the K-means mean classification algorithm and multi-layer perceptron algorithm,the potential assessment of enterprise electricity substitution and user industry classification have been achieved,enhancing the professionalism and informatization level of enterprise electricity substitution work.Construct an electricity substitution benefit evaluation model using paired analysis method and fuzzy comprehensive evaluation system.The results indicate that electricity substitution has performed well in the external environment,profitability of power grid companies,and social contribution,with a comprehensive evaluation level of"good",and has brought considerable technological and economic environmental benefits.
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