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投稿时间：2020-02-14
投稿时间：2020-02-14
中文摘要: 负荷预测是智能电网安全领域的热门研究方向。智能技术应用到智能电网负荷预测领域取得了一系列研究成果。首先，对主流负荷预测技术进行总结；然后，将面向智能电网的传统负荷预测技术与近年来新兴的智能负荷预测技术进行对比，并详细介绍了两个领域中典型成果的基本原理和方法；最后，讨论了智能电网负荷预测技术仍需要解决的问题及未来的研究趋势。
Abstract:Load forecasting is a hot research direction in smart grid.Intelligent technology has been applied to the field of load prediction of smart grid,and a series of research results have been obtained.This paper first summarizes the mainstream load forecasting technologies,then compares the traditional load forecasting technologies with the emerging intelligent load forecasting technologies for smart grids in recent years.Subsequently,the basic principles and methods of typical results in two areas are introduced in detail.Finally,load forecasting issues that need to be addressed and future research trends are further discussed.
文章编号：20204011 中图分类号：TP183;TM715 文献标志码：
基金项目:国家自然科学基金通用技术联合基金（U1736120）。
| 作者 | 单位 | |
| 栗风永 | 上海电力大学 计算机科学与技术学院 | |
| 杨洋 | 上海电力大学 计算机科学与技术学院 | 815345147@qq.com |
引用文本：
栗风永,杨洋.基于智能技术的电力系统负荷预测技术研究进展[J].上海电力大学学报,2020,36(4):379-385.
LI Fengyong,YANG Yang.Research Progress of Load Forecasting Technology of Power System Based on Intelligent Technology[J].Journal of Shanghai University of Electric Power,2020,36(4):379-385.
栗风永,杨洋.基于智能技术的电力系统负荷预测技术研究进展[J].上海电力大学学报,2020,36(4):379-385.
LI Fengyong,YANG Yang.Research Progress of Load Forecasting Technology of Power System Based on Intelligent Technology[J].Journal of Shanghai University of Electric Power,2020,36(4):379-385.