| 摘要: |
| 从降低电价序列非平稳性出发，提出一种基于聚类经验模态分解(EEMD)和小波神经网络(WNN)的新型组合预测模型来预测短期电价；采用Matlab/Simulink仿真平台进行建模仿真；仿真结果表明：新算法预测精度高，预测方法可行。 |
| 关键词: 电价 预测 聚类经验模态分解 小波神经网络 混合模型 |
| DOI： |
| 分类号: |
| 基金项目: |
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| Combined Forecast for Short term Electricity Price Based on EEMD and Wavelet Neural Network |
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GUO Xin xin
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| Abstract: |
| Based on the non stationary of electricity price sequence, this paper proposes a new combined forecast model to forecast short term electricity price based on ensemble empirical mode decomposition (EEMD) and wavelet neural network (WNN), and uses Matlab/Simulink simulation platform to model. The simulation results show that the new algorithm has high forecasting accuracy and the forecasting method is feasible. |
| Key words: electricity price forecast ensemble empirical mode decomposition (EEMD) wavelet neural network (WNN) hybrid model |
