【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、较高的精度和实用前景更多还原

【Abstract】 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.更多还原