论文标题
住宅用途的需求响应：数据分析方法
Demand Response For Residential Uses: A Data Analytics Approach
论文作者
论文摘要
在智能电网环境中，智能测量设备的出现有助于监视设备电力消耗。这些数据可用于通过数据分析和开发数据挖掘技术在住宅房屋中应用需求响应（DR）。在这项研究中，我们引入了一个智能系统基础，该基础适用于用户分解的功耗数据。该系统鼓励用户通过更改使用较重的操作模式为更轻的模式，并鼓励用户将其用法转移到非高峰时间来应用DR。首先，我们应用跨相关（XCORR）来检测使用设备时发生的时间。然后，我们使用动态时间翘曲（DTW）来识别所使用的操作模式。
In the Smart Grid environment, the advent of intelligent measuring devices facilitates monitoring appliance electricity consumption. This data can be used in applying Demand Response (DR) in residential houses through data analytics, and developing data mining techniques. In this research, we introduce a smart system foundation that is applied to user's disaggregated power consumption data. This system encourages the users to apply DR by changing their behaviour of using heavier operation modes to lighter modes, and by encouraging users to shift their usages to off-peak hours. First, we apply Cross Correlation (XCORR) to detect times of the occurrences when an appliance is being used. We then use The Dynamic Time Warping (DTW) to recognize the operation mode used.
