• 主题
高级搜索  >
历史搜索 清空历史
首页> 美国政府科技报告 >Anaylsis and Synthesis of Load Forecasting Data for Renewable Integration Studies.
【24h】

Anaylsis and Synthesis of Load Forecasting Data for Renewable Integration Studies.

机译：可再生一体化研究负荷预测数据的分析与综合。

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

摘要

As renewable energy constitutes a greater portion of the generation fleet, so does the importance of modeling uncertainty as part of integration studies. In pursuit of optimal system operations, it is important to capture not only the definitive behavior of power plants but also the risks associated with systemwide interactions. Load forecasting is an area of renewable energy integration studies that is often neglected, chiefly because of a lack of available data. In this research, the dependence of load forecast errors on external predictor variables such as temperature, day type, and time of day was examined. The analysis was utilized to create statistically relevant instances of sequential load forecasts with only a time series of historic, measured load available. The creation of such load forecasts relies on Bayesian techniques for informing and updating the model, thus providing a basis for networked and adaptive load forecast models in future operational applications.

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