摘要
针对水电企业电力负荷预测的困难 ,提出了一种将AR模型与T -S模糊神经模型相结合的负荷预测新方法。通过对某水电厂近两年发电量作的预测表明 ,该方法具有较好的鲁棒性。
Redarding to the difficulties of power load forecasting on hydroelectric plant, a power load forecasting method which combines classical AR(Auto Regression) model with T_S fuzzy_neural model is put forward especially for power dam. The recent two years' loads dam are forecasted with it. The result of forecasting shows that method has better robustness , higher precision and is used in hydroelectric plant.
出处
《中国农村水利水电》
北大核心
2003年第6期11-13,共3页
China Rural Water and Hydropower
