摘要
发生电力故障风险高低一直是电网运行的重要评测标准之一。本文采用电力企业多方数据源,清洗、提炼各项影响电网故障风险的相关因素,然后搭建电力故障风险预测智能模型。通过该智能模型,可以知道当某个相关因素发生波动变化,电力故障的风险值将发生何种变化。结果表明,该智能模型的有效性能为电力故障处理提供及时有效的决策支持。
The occurrence of power failure is one of the most important evaluations for power grid operation. This paper uses multi-data sources which are from power company. Through cleaning and refining, we get the factors that may impact the risk of power failure. Then we build an intelligent model to predict the risk of power failure. Running the model, it is easy to know how the risk of power failure may change if one of the factors changes. Depending on the result, this model is effectiv and can provide timely support for power company.
出处
《科技资讯》
2017年第35期38-40,42,共4页
Science & Technology Information
基金
广东青年职业学院2016-2018年度学院科研项目<基于数据挖掘的客户关系管理--某市电力系统用户为例>(项目编号:QN201601)
关键词
预测模型
电网故障
关键因素
Prediction model
Power failure
Key factors
