基于大数据分析的配电网负荷预测方法研究  

Research on Load Forecasting Method for Distribution Network Based on Big Data Analysis

作　　者：李海龙 LI Hailong(Nanyang Feilong Electric Power Group Co.,Ltd.,Nanyang Henan 473000)

机构地区：[1]南阳飞龙电力集团有限公司,河南南阳473000

出　　处：《中国科技纵横》2024年第18期14-16,共3页China Science & Technology Overview

摘　　要：随着智能电网的快速发展,负荷预测在电力系统运行中的重要性日益凸显。本文介绍智能电网负荷预测的内容、方式与意义,阐述大数据的概念与特点,分析智能电网负荷预测与大数据的关联性。在此基础上,探讨了大数据背景下的智能电网负荷预测方法,并展望大数据智能电网负荷预测的发展趋势及其应用价值,为相关研究提供参考和借鉴。With the rapid development of smart grids,the importance of load forecasting in the operation of power systems is becoming increasingly prominent.This article introduces the overview and significance of smart grid load forecasting,elaborates on the concept and characteristics of big data,and analyzes the correlation between smart grid load forecasting and big data.On this basis,the intelligent grid load forecasting methods under the background of big data were explored,and the development trend and application value of big data intelligent grid load forecasting were discussed,to provide reference and inspiration for related research.

关 键 词：大数据 智能电网 负荷预测 关联性 方法 发展趋势 

分 类 号：TM732[电气工程—电力系统及自动化]