Method and system for dynamically predicting price of distribution network equipment

The invention relates to a distribution network equipment price dynamic prediction method and system, and the method is characterized in that the method comprises the steps: obtaining influence factor data of to-be-tested distribution network equipment, and carrying out the standardization processing; and inputting the influence factor data of the to-be-tested distribution network equipment after standardization processing into a pre-constructed price dynamic prediction model to obtain a predicted price of the to-be-tested distribution network equipment, the price dynamic prediction model being constructed by using a deep learning algorithm. The method can be widely applied to the field of model calculation. 本发明涉及一种配网设备价格动态预测的方法及系统，其特征在于，该方法包括：获取待测配网设备的影响因素数据并进行标准化处理；将标准化处理后待测配网设备的影响因素数据的输入至预先构建的价格动态预测模型中，得到待测配网设备的预测价格，其中，价格动态预测模型采用深度学习算法构建，本发明明确配电网设备材料价格影响因素，可以广泛应用于模型计算领域中。