%0 Journal Article
%T Short-term load forecasting based on modified particle swarm optimizer and fuzzy neural network model<br>基于改进粒子群-模糊神经网络的短期电力负荷预测
%A SHI Biao~
%A LI Yu-xia~
%A YU Xin-hua~
%A YAN Wang~
%A <br>师彪
%A 李郁侠
%A 于新花
%A 闫旺
%J 系统工程理论与实践
%D 2010
%I 
%X To improve short-term load forecasting accuracy,a modified particle swarm optimizer(MPSO) and fuzzy neural network(FNN) hybrid optimization algorithm is proposed.In which the FNN is trained by MPSO to implement the optimization of FNN parameters.The short-term load-forecasting model is established based on the modified particle swarm optimizer and fuzzy neural network hybrid optimization algorithm.In load forecasting such factors impacting loads as meteorology,weather and date types are comprehensively cons...
%K short-term load forecasting
%K MPSO-FNN algodthm
%K accuracy
%K fuzzy neural network<br>短期负荷预测
%K MPSO-FNN算法
%K 预测精度
%K 模糊神经网络
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=01BA20E8BA813E1908F3698710BBFEFEE816345F465FEBA5&cid=962324E222C1AC1D&jid=1D057D9E7CAD6BEE9FA97306E08E48D3&aid=5F54F9BD724EA23C7B17C2C9D30FBB63&yid=140ECF96957D60B2&vid=340AC2BF8E7AB4FD&iid=CA4FD0336C81A37A&sid=0B4F496D54044D86&eid=43608FD2E15CD61B&journal_id=1000-6788&journal_name=系统工程理论与实践&referenced_num=1&reference_num=11