摘要
简要回顾了各种电力需求预测方法,并针对最近兴起的神经网络方法的不足,提出了用自组织数据挖掘技术进行电力预测。用成都市电力需求的有关数据进行了电力需求预测,得出了较好结果,指出了近期电力需求预测出现偏差的可能原因。
With a brief review to the prediction methods for electricity demand, the self-organization of data digging is introduced to predict the demand of electricity. An empirical analysis is given with the demand data of electricity in Chengdu. A better conclusion is obtained and the possible causes for the estimation error are pointed out.
出处
《电力科学与工程》
2004年第4期41-43,51,共4页
Electric Power Science and Engineering
关键词
数据挖掘
自组织
电力需求
data-mining
self-organizing
electricity demand
