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英语翻译因为是新手,所以没有财富可悬赏,请大家多多见谅This approach has also been appli

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英语翻译
因为是新手,所以没有财富可悬赏,请大家多多见谅
This approach has also been applied for short term load forecasting of a local load,the region of Mascouche.This is a small part of the Hydro-Quebec system where the load
varies between 60 MW and 140 MW.Fig.6 shows the evaluation of the ANN performance in this test where the ANN forecasting output,for 72 h (i.e.,3 days),is compared to the actual load giving an average percentage error,eNN = 1.281.The Hydro-Quebec forecasting is not available for this region,and therefore,no comparison is made here with traditional methods.However,results show that ANN has a very good performance,and this approach is also very efficient for local load forecasting.
英语翻译因为是新手,所以没有财富可悬赏,请大家多多见谅This approach has also been appli
这种方法也被当地的短期负荷预测采用负荷,对Mascouche地区.这是水利系统的一小部分在魁北克的负荷
不同年龄介乎60兆瓦和140兆瓦.图.6显示了在这个测试中的表现评价人工神经网络在人工神经网络预测输出,72小时(即3天),是比较实际的负载提供1平均百分比误差,新奥= 1.281.魁北克水预测是不能用于本地区,因此,没有在这里进行了比较与传统方法.然而,结果表明,人工神经网络有一个非常良好的性能,这种方法也很为本地负荷预测效率.