面向智慧能源的供需平衡数据可视化挖掘方法

Visualization mining method of supply and demand balance data for intelligent energy

为满足能源数据监测和综合分析领域的业务需要,提出面向智慧能源的供需平衡数据可视化挖掘方法。构造数据迁移与分类视图,确定每个供需平衡数据点位置坐标,并采用正交投影可视化技术将数据挖掘算法核心结构展示在视图中(支持用户对其进行相应调整);引入数据挖掘算法,提取数据可视化挖掘结果参数,实现面向智慧能源供需平衡数据的可视化挖掘。实验结果显示:智慧能源供需数据可视化挖掘结果综合评分数值范围为64.70~82.04分,充分说明该方法具备较好的可视化挖掘性能,可应用在多维典型用能场景中。

In order to meet the business needs of energy data monitoring and comprehensive analysis,this paper proposes a method of data visualization mining for smart energy supply and demand balance.Data migration and category view is constructed to determine the location coordinates of each supply and demand balance data point,and orthogonal projection visualization technology is used to display the core structure of data mining algorithm in the view(support users to adjust accordingly).Then,data mining algorithm is introduced to extract data visualization mining result parameters,which realizes the visualization mining of smart energy supply and demand balance data.The experiment results show that the comprehensive score range of intelligent energy supply and demand data visualization mining results is 64.70-82.04,which fully shows that the method has good visualization mining performance and can be applied in multi-dimensional typical energy consumption scenarios.