首页> 外文会议>Conference on Environmental Science and Information Application Technology >The application of the gray model based on gray parameter improved by seeking the optimal with posterior-error-test on rural electricity load forecasting
【24h】

The application of the gray model based on gray parameter improved by seeking the optimal with posterior-error-test on rural electricity load forecasting

机译:基于灰色参数的灰色模型在农村电力负荷预测上寻求最佳误差试验来改进灰色参数

获取原文

摘要

Improving the accuracy of electricity load forecasting is benefit to the economic efficiency and social efficiency of electricity system. The rural electricity load forecasting is closely related to the agricultural industry. In the policy of advocating increasing farmers's incomes strongly, the accurate forecasting of rural electricity load is more important. The gray model is widely used and it is a new research way to improve the accuracy of gray model with gray parameter improved by seeking the optimal with posterior-error-test
机译:提高电力负荷预测的准确性有利于电力系统的经济效率和社会效率。农村电力负荷预测与农业产业密切相关。在倡导强烈倡导农民收入的政策中,农村电力负荷准确的预测更为重要。灰色模型被广泛使用,并且通过寻求最佳误差测试来提高灰色参数提高灰色模型精度的新研究方法

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