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Apparatus and method for Deep neural network based power demand prediction

机译:基于深度神经网络的电力需求预测的装置和方法

摘要

A deep neural network-based power demand prediction device and method for predicting power demand by performing preprocessing on missing data, configuring an independent prediction model for each data for prediction, and constructing a prediction model that merges independent prediction models it's about A deep neural network-based power demand prediction apparatus according to an embodiment of the present invention includes a data pre-processing unit for pre-processing data for predicting power demand, and an independent first prediction model for each data using the data pre-processed in the data pre-processing unit. A predictive model generation unit generating a second prediction model by generating a plurality of first prediction models by merging the plurality of first prediction models, and predicting the amount of power demand by using the first prediction model and the second prediction model generated by the prediction model generation unit Prediction evaluating the validity of the first prediction model and the second prediction model based on the prediction accuracy according to the power demand prediction unit and the result of preprocessing the data in the data preprocessing unit and the power demand prediction unit in the power demand prediction unit It includes an accuracy analysis unit.
机译:基于深度神经网络的功率需求预测装置和方法通过在缺失数据上执行预处理来预测功率需求,为每个数据配置为预测的独立预测模型,并构建合并独立预测模型的预测模型,这是一个深度神经网络基于根据本发明的实施例的功率需求预测装置包括用于预处理用于预测用于预测电力需求的数据的数据预处理单元,以及使用在数据预处理中预处理的数据的每个数据的独立第一预测模型-处理单元。通过利用多个第一预测模型来生成多个第一预测模型来生成第二预测模型的预测模型生成单元,并通过使用第一预测模型和由预测模型生成的第二预测模型来预测电力需求量和预测电量基于功率需求预测单元的预测精度以及预处理数据预处理单元中的数据和电力需求中的功率需求预测单元的结果,基于预测精度的生成单元预测评估第一预测模型和第二预测模型的有效性。预测单元它包括精度分析单元。

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