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发明公开
CN105427194A 一种基于随机森林回归的售电量预测方法及装置 无效 - 驳回

一种基于随机森林回归的售电量预测方法及装置
摘要：
本发明公开了一种基于随机森林回归的售电量预测方法及装置，依据预设时长内的历史的月售电量数据，以及预先确定的若干影响因素指标，建立基于随机森林回归的月售电量预测模型。获取和计算待预测月的上述若干影响因素指标，代入月售电量预测模型，得到未来待预测月的月售电量预测结果。
摘要（英）：

The invention discloses a method and a device for electricity sales amount prediction based on random forest regression, wherein a monthly electricity sales amount prediction model based on the random forest regression is established according to historical monthly electricity sales amount data in a preset period and multiple influential factor indexes which are determined in advance. The multiple influential factor indexes in a to-be-predicted month are acquired and calculated and then substituted into the monthly electricity sales amount prediction model so as to obtain monthly electricity sales prediction results in the future to-be-predicted month.

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