摘要
智能电网是大数据的重要技术应用领域之一,大数据的价值通过多源异构相关数据的分析来实现。由于传统管理和运营模式的限制,在数据的处理和分析等方面还面临着很多问题,数据的价值尚未充分挖掘出来。文章分析了电力大数据的特征和大数据分析技术,着重对大数据分析过程中的数据预处理、降维、分析算法、计算等关键技术进行分析,并以配变负荷预测为例进行了深入分析。
Smart grid is one of the key applications of big data technology. The value of large data is analyzed by multi-source heterogeneous data. Due to the limitation of traditional management and operation mode in the data processing and analysis, the value of the data has not been fully excavated. This paper analyzes the characteristics of the electric power big data and big data analysis technology？ especially on data preprocessing, dimension reduction, analysis algorithm〉 and calculation. Finally, the case of load forecasting are analyzed in detail.
出处
《供用电》
2017年第6期32-37,共6页
Distribution & Utilization
关键词
电力大数据
大数据分析技术
负荷预测
power big data
big data analysis technology
load forecasting
