• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文会议>IEEE-HYDCON International Conference on Engineering in the Industrilal Revolution >Analysis of temperature-sensitive on short-term electricity load forecasting
【24h】

Analysis of temperature-sensitive on short-term electricity load forecasting

机译：对温度敏感的短期电力负荷预测分析

获取原文
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Short-termelectricityloadforecastingisessentialfor the operating energy of a nation. Accuracy of forecasting is important for power operation however it is dependent on weather. This paper focuses on model sensitive analysis temperature on short-term electricity load forecasting. The new models have proposed to analyze the effect of temperature on the electricity load forecasting. In detail, three methods (linear regression, local method and Monte Carlo) are analysis for temperature-sensitive on short-term electricity load forecasting. Then, the proposed models are applied to Vietnam electricity load forecasting. Index Terms-Sensitive Analysis, Electricity load forecasting, Short-term forecasting, Temperature effect, Regression
机译：短期电力负荷预测对于一个国家的运行能量至关重要。预测的准确性对于电力运营非常重要，但是它取决于天气。本文着重于短期电力负荷预测中的模型敏感性分析温度。新模型建议分析温度对电力负荷预测的影响。详细地，对短期电力负荷预测中温度敏感的三种方法（线性回归，局部方法和蒙特卡洛）进行了分析。然后，将所提出的模型应用于越南的电力负荷预测。索引词-敏感性分析，电力负荷预测，短期预测，温度影响，回归

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