...
【24h】

Power load forcasting by neural models

机译:用神经模型预测电力负荷

获取原文
获取原文并翻译 | 示例
   

获取外文期刊封面封底 >>

       

摘要

This paper presents a study of power load forecasting by using several neural models having different structures. A reliable and good neural forecasting model is expected to be found and concluded. This study basically provides some suggestions and can be treated as a reference for those related researches in this area. In our study, all simulations were executed by the forecasting models constructed based on the same initial conditions such as the size and the initial weights of neural network. The simulation results were reported as a comparison.
机译:本文介绍了使用几种具有不同结构的神经模型进行电力负荷预测的研究。可以找到并得出一个可靠且良好的神经预测模型。这项研究基本上提供了一些建议,可以作为该领域相关研究的参考。在我们的研究中,所有模拟都是由基于相同初始条件(例如神经网络的大小和初始权重)构建的预测模型执行的。仿真结果作为比较报告。

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