基于数据挖掘的配电网降损分析

Analysis on Distribution Network Line Loss Based on Data Mining

降低线损是供电企业提高经济效益的重要手段.本文应用聚类K-mean对数据进行概化分析,形成聚类群组.应用FP-Growth对概化后数据做关联规则分析,找到线损率与各影响因素之间的关系,从而确定降损措施,提供了一种新的降损思路和解决方案.

Reducing line loss is an important way for power supply enterprises to increase economic benefits.This article uses clustering algorithm K-mean to conduct generalizability analysis of data and to form cluster groups.FP-Growth algorithm is employed to conduct correlation rule analysis of the generalized data.The relationship between the rates of line loss and related factors was established,providing a new scheme for reducing line loss.