首页> 外文会议>International Conference on Electrical and Electronics Engineering >Short term load forecasting for a micro region using NNs and regression models
【24h】

Short term load forecasting for a micro region using NNs and regression models

机译:使用NN和回归模型对微观区域进行短期负荷预测

获取原文

摘要

Thanks to today's advancing technology, some techniques have been developed to make future oriented forecast on energy generation, transmission and distribution subjects. In literature, load forecasting studies are generally realized for macro size settlement units. However, determination of parameters that effect load forecasting in macro size settlement units is very difficult. In this study, by considering a micro size settlement unit (Güney district of Denizli province), factors that may affect the load demand were examined. Then, by selecting popular methods used in the literature, load forecasting for the region was realized. Finally the results obtained from the models were compared.
机译:得益于当今的先进技术,已开发出一些技术来对能源发电,输电和配电主题进行面向未来的预测。在文献中,通常对宏观沉降单位进行负荷预测研究。然而,确定影响以宏观尺寸结算单位进行负荷预测的参数非常困难。在这项研究中,通过考虑一个微型沉降单元(代尼兹利省古尼区),研究了可能影响负荷需求的因素。然后,通过选择文献中使用的流行方法,实现了对该区域的负荷预测。最后,比较了从模型获得的结果。

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