Day-ahead electricity price prediction based on multiple ELM
Day-ahead electricity price prediction based on multiple ELM
复制标题
基于多重ELM的日前电价预测
DOI：
10.1109/ccdc.2010.5499079
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发表时间：
2010
期刊：
影响因子：
--
通讯作者：
Shuzhou Wang
中科院分区：
文献类型：
--
作者：
Huixin Tian;Bo Meng;Shuzhou Wang
针对日前电价的特点，结合智能建模方法建立了电价预测模型。选择性能较好的新型神经网络方法ELM建立基本的日前电价预测模型。利用信息融合和集成思想，提出了一种多重ELM建模方法来建立预测模型。通过实际数据对日前电价预测模型进行了检验。实验表明，新方法建立的新预测模型具有更好的性能。
Aiming at the characters of day-ahead electricity price, an electricity price prediction model is established by combining the intelligent modeling methods. A new neural network method ELM is selected for its better performance to establish the basic day-ahead electricity price prediction model. Using the information fusion and ensemble ideas, a multiple ELM modeling approach is proposed to establish the prediction model. The day-ahead electricity price prediction model is tested by the real data. The experiments demonstrate that the new prediction model established by the new method has better performance.