• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文会议>2017 4th International Conference on Industrial Engineering and Applications >Application of fuzzy neural network on the electricity consumption forecasting
【24h】

Application of fuzzy neural network on the electricity consumption forecasting

机译：模糊神经网络在用电量预测中的应用

获取原文
获取原文并翻译 | 示例
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

The electricity consumption is highly related to the consumption's pattern. Thus, analyzing the electricity consumption's pattern becomes an important issue in order to reduce the total electricity consumption. This paper aims to analyze the electricity consumption in Taipei Bus Station located in Taipei City, Taiwan. This building is one of the busiest bus station in Taiwan. The analysis of the electricity consumption in this building is conducted based on the historical data of total electricity consumed by some cooling equipment installed in the building and the total electricity consumptions. In addition, the building temperatures, humidity and CO2 are also considered. In order to obtain an accurate forecasting, some data preprocessing approaches are conducted. They include the missing value prediction, data normalization, feature selection and discretization. Furthermore, a fuzzy neural network is applied to obtain the forecasting model. The experiments results show that the proposed research framework can obtain an accurate forecasting model with very small error. The result also reveals that the total electricity consumption is only highly related to some of the features studied in this paper while other factors do not significantly influence the total electricity consumption.
机译：用电量与用电量的模式高度相关。因此，分析电力消耗的模式成为减少总电力消耗的重要问题。本文旨在分析台湾台北市台北汽车站的用电量。该建筑是台湾最繁忙的汽车站之一。根据建筑物中安装的某些制冷设备的总用电量和总用电量的历史数据，对该建筑物的用电量进行分析。此外，还要考虑建筑物的温度，湿度和二氧化碳。为了获得准确的预测，进行了一些数据预处理方法。它们包括缺失值预测，数据归一化，特征选择和离散化。此外，应用模糊神经网络获得预测模型。实验结果表明，所提出的研究框架能够获得误差很小的准确的预测模型。结果还表明，总耗电量仅与本文研究的某些功能高度相关，而其他因素并未显着影响总耗电量。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号