智能电网中基于数据挖掘技术的可再生能源消费预测建模

摘要

传统电力系统逐渐步入智能电网时代后，数据量激增，传统的分析处理方法已捉襟见肘。数据挖掘正是解决这个难题的有力工具。本文分析了数据挖掘技术和智能电网各自的特点，揭示了二者之间的密切联系，并结合数据挖掘的相关理论，对该技术在智能电网中的应用给出了实例。本文最后还对数据挖掘技术在智能电网中的进一步推广进行了讨论。%After the traditional power system gradually enters into the Smart Grid era, with sharply increased of data quantity, the conventional analytical methods had faced many difficulties. Data mining is just a powerful tool for solving this puzzle. This paper analyses the respective characteristics of Data mining techniques and Smart Grid, reveals the close ties between two of them as well as gives the examples in the application of Smart Grid with the relevant theory of Data mining. At last, a further generalization of Data mining in the Smart Grid was discussed in the paper.