兰华,常家宁,周凌,王冰,张镭.基于局部均值分解与神经网络的短期负荷预测[J].电测与仪表,2012,49(5):48-51,84. LAN Hua , CHANG Jia-ning , ZHOU Ling , WANG Bing , ZHANG Lei.Power System Short-term Load Forecasting Based on Local Mean Decomposition and Artificial Neural Network[J].Electrical Measurement & Instrumentation,2012,49(5):48-51,84.
基于局部均值分解与神经网络的短期负荷预测
Power System Short-term Load Forecasting Based on Local Mean Decomposition and Artificial Neural Network
Short-term load forecasting is the basis of the power system dispatching and operation.In order to improve the short-term power load precision,a novel approach for short-term load forecasting is presented based on local mean decomposition(LMD) and artificial neural network(ANN).First of all,based on LMD the load series is decomposed into different lots of series,then according to the features of decomposed components different dynamic neural network model,finally using the BP network to reconstruct the forecasted signals of the components and obtain the ultimate forecasting result.The simulation results show that the LMD-BP neural network method has higher precision of prediction than the EMD-BP neural network method,also verify the feasibility and efficiency of this method.
