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投稿时间：2016-04-07
投稿时间：2016-04-07
中文摘要: 用电量的预测受许多因素的影响.为了得到比较精确的预测结果，对原始用电量数据进行平滑预处理，并考虑到影响园区用电量的主要因素，将其进行模糊化处理.借助分段模糊拟合预测方法进行拟合预测，通过对具体算例的分析研究发现，该预测方法能够较好地提高预测精度.
Abstract:The prediction of electricity consumption is affected by many factors.In order to get more accurate prediction results, the original data is smoothed, and the main factors that affect the electricity consumption of the park are considered.By means of piecewise fuzzy fitting prediction method, it is found that the said forecasting method can be used to increase the accuracy of prediction.
文章编号：20172019 中图分类号： 文献标志码：
基金项目:
| 作者 | 单位 | |
| 刘晓娟 | 上海电力学院 数理学院 | xiaojl@shiep.edu.cn |
| 龚毅豪 | 上海电力学院 数理学院 |
引用文本：
刘晓娟,龚毅豪.基于分段模糊拟合方法的用电量预测研究[J].上海电力大学学报,2017,33(2):206-209.
LIU Xiaojuan,GONG Yihao.Electricity Demand Forecasting Based on Piecewise Fuzzy Fitting Method[J].Journal of Shanghai University of Electric Power,2017,33(2):206-209.
刘晓娟,龚毅豪.基于分段模糊拟合方法的用电量预测研究[J].上海电力大学学报,2017,33(2):206-209.
LIU Xiaojuan,GONG Yihao.Electricity Demand Forecasting Based on Piecewise Fuzzy Fitting Method[J].Journal of Shanghai University of Electric Power,2017,33(2):206-209.