摘要
本文针对我国电力体制改革不断深入的背景,主要研究电力市场用户侧响应对负荷变化的影响,分析了数据挖掘技术在预测中的应用,提出了完善支持向量机预测算法的方案,有助于深度挖掘用户用电对负荷的影响规律,提升预测模型对市场变化的适用性。
In this paper, we analyze the impact of the power system reform in China, analyze the application of data mining technology in forecasting, and propose a scheme to improve support vector machine prediction algorithm. Helping to excavate the users of electricity and its influence on load regular pattern,it will improve the applicability of the model to the market change.
出处
《世界有色金属》
2015年第12期102-103,共2页
World Nonferrous Metals
关键词
电力体制改革
用户侧响应
负荷预测
Reformation of Eelectric Power System
User Side Response
Load Forecasting
