大数据技术在电力系统负荷预测中的应用进展

Application Progress of Big Data Technology in Power System Load Forecast

介绍了大数据技术在电力系统负荷预测中的应用,研究了电力负荷预测的方法、大数据在电力系统负荷预测的应用领域及其关键技术。通过阐述电力系统负荷预测的2种常见方式,对比了现有的3种电力负荷预测的方法,体现了智能预测方法在非线性处理领域的优势。在电力系统负荷预测的应用领域,电力大数据涉及集成管理、数据分析、数据处理与数据展示等关键技术。引入大数据技术来完成电力系统负荷预测,能够有效增加预测精度与速度,有助于稳定性与经济性的提升。

This paper introduces the application of big data technology in power system load forecasting,and studies the methods of power load forecasting,the application field of big data in power system load forecasting and its key technologies.By expounding two common methods of power system load forecasting,comparing the three existing methods of power load forecasting,it reflects the advantages of intelligent forecasting methods in the field of nonlinear processing.In the application field of power system load forecasting,power big data involves key technologies such as integrated management,data analysis,data processing and data display.Introducing big data technology to complete power system load forecasting can effectively increase forecasting accuracy and speed,and help improve stability and economy.