• 主题
高级搜索  >
历史搜索 清空历史
首页> 美国政府科技报告 >Development of methods for evaluation of electricity saving and load levelling measures. Part 3: Experimental assessment of the effect of a power conservation campaign
【24h】

Development of methods for evaluation of electricity saving and load levelling measures. Part 3: Experimental assessment of the effect of a power conservation campaign

机译：开发节电和负荷均衡措施评估方法。第3部分：节能活动影响的实验评估

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

摘要

The purpose of the project described in this report is to develop and to investigate methods for estimating effects of power conservation campaigns, and to estimate the effect of a particular campaign. The statistical approach of experimental design, followed by analysis of measurements is applied. Using a method known as cluster analysis prior to the initiation of the campaign, a number of substations for which measurements equipment was installed were combined into groups of highest possible similarity with respect to a number of features. It was decided to perform a campaign on a total of two substations. For this purpose the two groups of highest similarity were selected and one substation was chosen from each group to receive the campaign (the active substations). Since each of the two groups contained two substations this procedure left two substations for comparisons (the control substations). The overall results indicate a 10-12% reduction of the power consumption when carrying out a campaign. However, some difference is observed for the two pairs of active and control substations. Consequently, the extrapolation to other substations of similar kind will be difficult. When measuring the diurnal profile as the relative deviation from the daily level during the cycle, practically no effect of the campaign can be detected. However, the amplitude of the profile measured in units of power consumption depends strongly on the daily level. It is demonstrated that non-parametric and semi non-parametric methods, combined with traditional time series analysis and bootstrapping, are well suited as statistical tools for the analysis of data from these kinds of experiments. (au) EFP-95. 22 refs.

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