期刊名称：International Journal of Computer Science Issues
印刷版ISSN：1694-0784
电子版ISSN：1694-0814
出版年度：2016
卷号：13
期号：4
出版社：IJCSI Press
摘要：Objective: is to solve the problems existing in residential load data processing including massive amount data storage, processing efficiency and effective analysis. Methods: we proposed an overall processing architecture based on the residential load data characteristics. The improved clustering and associate rule mining algorithms have been fulfilled parallelization calculated through cloud computing. Results: 1) Residential electricity consumption patterns have been found out 2) The efficiency of our method has been varied compared with the current system under different amount of data. Conclusion: big data processing requirements are arising more in different fields, our method would be helpful in grid construction as well as the residential energy consuming modeling.
