Abstract:Improving the accuracy of wind power data is of great significance for building ubiquitous power internet of things (UPIoT). Wind power prediction has a high demand for historical data sets. Most of research was focused on improving the prediction accuracy by establishing different prediction models or proposing different prediction algorithms. There is not much attention on noise data elimination. Thus, a noise reduction method for the historical wind power data was proposed, which was mainly applied to the data set, by eliminating the distorted data in the historical wind power data, the amount of useless data was reduced, the accuracy of wind power prediction was improved, and the data modeling and prediction time was shortened.
标题：基于失真数据降噪的数据预处理方法及其在风电功率预测中的应用
title:Data Pre-processing Method Based on Distorted Data Noise Reduction and Its Application in Wind Power Prediction
作者：金鑫城,杨秀媛
authors:Xincheng JIN,Xiuyuan YANG
关键词：风电功率预测,数据降噪,数据集处理,
keywords:wind power prediction,data noise reduction,data set processing,
