Zhou Xiangyu
ABSTRACT
With the development of intelligent power technology, the prediction of users' electricity utilizes by relevant power enterprises tends to be meticulous gradually, and the accumulated data of users are various and large. On this basis of the users' data, Subspace clustering is carried out according to the evaluation index of user's electricity consumption characteristics, and various kinds of user's electricity consumption patterns are obtained. According to the different electricity consumption patterns, the users are divided into groups, and the related factors are judged by mutual information matrix for different groups of users, and then the electricity consumption is predicted by multiple linear regression algorithm. This method proposed in this paper can cluster automatically according to the electricity characteristic index, and can effectively identify the power related factors of different user groups. The simulation results show that the proposed method has better prediction effect than the comparative algorithm.
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Index Terms
- Linear Regression Electricity Prediction Method Based on Clustering of Electric Characteristics
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