77 Identification of Temporal Interval Relations of Frequent Patterns during Incremental Phase

Data mining techniques are one of widely studied methodologies for power load management and it helps people to find efficient and effective power management strategy in electricity energy related corporations. However, there are still no efficient methodologies to analyze the consumers' power consumption behavior changes and it is still important challenge of energy supporters. Therefore, in this paper, we propose an incremental temporal relational frequent patterns mining algorithm to analyze customers' power consumption behavior changes over time to help the development of power management strategy.