%0 Journal Article
%T Application of L-M Optimized BP Algorithm in Short-term Power Load Forecast<br>L-M优化BP算法在短期负荷预测中的应用
%A DAI Xiao-hong
%A WANG Guang-li
%A <br>代小红
%A 王光利
%J 计算机科学
%D 2011
%I 
%X Analyzing the deficiency of the traditional BP algorithm, combining Levenbery-Marquardt optimized algorithm and a neural network forecasting method, this paper put forward a L-M optimized BP algorithm, which quickens the train, improves stability and avoids trapping into local minimum. For some area power supply load of Power Corporation in somewhere, a short term load forecast was simulated based on L-M optimized BP algorithm. Analyzing the simulation results, it shows the L-M optimized BP algorithm has better forecast precision and adaptive capacity.
%K Short term load forecasting
%K L-M optimized
%K BP algorithm
%K Forecast precision<br>短期负荷预侧，L-M优化法，BP算法，预测误差
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=64A12D73428C8B8DBFB978D04DFEB3C1&aid=A02D22894B674714331A2E685E607DE3&yid=9377ED8094509821&vid=16D8618C6164A3ED&iid=DF92D298D3FF1E6E&sid=FDC7AF55F77D8CD4&eid=866F8A6B640835A7&journal_id=1002-137X&journal_name=计算机科学&referenced_num=0&reference_num=12