The residential electricity consumption behaviors in smart residential areas are researched. Based on the cloud computing platform and parallel Apriori algorithm

association rules among residential electricity consumption behaviors are mined out. According to the mined association rules

the household electricity time consumption distribution is reasonably planned by the genetic algorithm to achieve the goal of economical power. An effective smart power utilization strategy is given. The power supply bureau can notify residents of the smart power strategies through short message service (SMS) or in other interactive ways. Experimental results show that the residential electricity consumption behavior based on cloud computing platform and parallel Apriori algorithm are effective in guiding residents to save home energy in efficient and intelligent use of power. This work is supported by National Natural Science Foundation of China (No. 51277023).