摘要
提出的基于MATLAB神经网络工具箱的短期负荷预报模型 ,不仅简洁实用 ,而且涉及了天气和日期特征量 ,因而具有较高的预测精度 采用两种学习算法 ,用实际数据对ANN进行了训练 ,通过比较得出了优化模型 计算实例表明用该方法是可行的。
The model structure of artificial neural network based on MATLAB toolbox is simpler and easier in programining. Since pondered weather variables and date variables, the presented model for short term load forecasting using ANN is better in respects of training time and forecasting accuracy Two algorithms are used to train ANN in order to acquire more better results. The calculation results show that this approach is feasible and effective
关键词
神经网络
负荷预报
MATLAB
电力系统
neural network
short term load forecasting
MATLAB
electric power system
BP algorith
