电力负荷预测研究综述

为适应智能电网快速响应的要求，电力负荷预测成为智能电网关键任务之一。精准的电力负荷预测响应对电力系统运行的安全性、稳定性、经济性起着至关重要的作用。首先，介绍电力负荷预测的特性及分类；随后，分析电力负荷预测的影响因素，并介绍电力负荷预测的基本步骤和性能评价指标；再将电力系统负荷预测的研究分传统预测方法、机器学习预测方法及深度学习预测方法等3类展开阐述；最后，总结所做的工作并展望电力负荷预测的未来发展方向。

Review of Power Load Forecasting

In order to adapt to requirements of fast response in smart grid, the accurate response of power load forecasting, as one of the key tasks in smart grid, plays a vital role in safety, stability and economy of power system operation. Firstly, the characteristics and classifications of power load forecasting are introduced. Secondly, the influencing factors of power load forecasting are analyzed and the basic steps and performance evaluation indexes of power load forecasting are introduced. Then the research of power load forecasting is divided into three categories: traditional forecasting method, machine learning forecasting method and deep learning forecasting method. Finally, the work done is summarized and the future development direction of power load forecasting is prospected.