Towards Flexibility Detection in Device-Level Energy Consumption
Towards Flexibility Detection in Device-Level Energy Consumption
复制标题
实现设备级能耗的灵活性检测
DOI：
10.1007/978-3-319-13290-7_1
复制
发表时间：
2014
期刊：
影响因子：
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通讯作者：
B. Thiesson
中科院分区：
文献类型：
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作者：
B. Neupane;T. Pedersen;B. Thiesson
对绿色能源的日益增长的推动促进了可再生能源（RES）的安装。增加可再生能源在电网中的份额需要通过灵活的消费进行需求管理。在本文中，我们执行一个国家的最先进的分析的灵活性和操作模式的设备在一组真实的家庭。我们提出了一些具体的预处理步骤，如操作阶段分割，和异常的操作持续时间去除清洁设备级数据。此外，我们展示了各种设备的操作属性，如每小时和每天的运行模式和操作不同设备之间的相关性。随后，我们展示了在设备操作中存在可检测的时间和能量灵活性。最后，我们提供了各种结果，为负载和灵活性检测和预测在设备级提供了基础。
The increasing drive towards green energy has boosted the installation of Renewable Energy Sources (RES). Increasing the share of RES in the power grid requires demand management by flexibility in the consumption. In this paper, we perform a state-of-the-art analysis on the flexibility and operation patterns of the devices in a set of real households. We propose a number of specific pre-processing steps such as operation stage segmentation, and aberrant operation duration removal to clean device level data. Further, we demonstrate various device operation properties such as hourly and daily regularities and patterns and the correlation between operating different devices. Subsequently, we show the existence of detectable time and energy flexibility in device operations. Finally, we provide various results providing a foundation for load- and flexibility-detection and -prediction at the device level.