基于小波分解的短期电力负荷智能预测研究

Research on Intelligent Prediction of Short-Term Electric Load Based on Wavelet Decomposition

电力负荷的准确预测可以提高电力系统的经济效益和社会效益,有利于降低发电成本。目前,电力负荷预测已成为实现电力系统管理和智能电网发展的重要内容。因此,在对小波分解方法进行综合阐述的基础上,叙述了电力负荷的类别划分依据,探讨了影响电力负荷预测的主要因素,并基于小波分解方法,论述了短期电力负荷智能的预测过程,希望为相关人士提供借鉴和参考。

Accurate prediction of power load can improve the economic and social benefits of power systems,and help to reduce power generation costs.Power load forecasting has become an important part of power system management and smart grid development.Based on the comprehensive description of wavelet decomposition method,this paper describes the classification basis of power load,discusses the main factors affecting power load forecasting,and discusses the short-term power load intelligence forecasting process based on wavelet decomposition method.Provide reference and reference for relevant people.