Opportunistic smart meter data analysis for smart sensing

在过去的几年里，智能计量基础设施技术在电力企业中得到了广泛的关注。安装智能电表已经花费了数百万美元，但安装这一基础设施并没有实现节能和经济效益。随着智能电表的安装，有大量的数据被收集，但没有被房主或当地分销公司使用。使用统计方法从聚合的能源配置文件中提取最终用户和/或设备级别数据的分解是获取和呈现此数据的最具成本效益和可扩展性的解决方案。该项目旨在研究使用从智能电表收集的数据来分解惠特比水电公司居民用户能源消耗数据的潜力。这种调查的主要好处是识别能源浪费，从而确定改进节能计划的潜在机会。这在战略上很重要，因为它将有助于当地的分销 公司通过使节能计划变得更有效来改善他们的节能计划。此外，拟议研究工作的结果将有助于为客户提供服务，并通过与住宅客户提供更多接触来帮助实现住宅保护目标。此外，拟议研究项目的结果将通过增加更多客户参与安大略省提供的能源计划来减少该省的碳足迹。

In the past few years, the technology of smart metering infrastructure has gained so much attention within the electric power utilities. Millions of dollars have been spent on installing Smart Meters but energy savings and financial benefits have not been realized as result of installing this infrastructure. With the installation of Smart Meters there are large amounts of data being collected but not being used by homeowners or local distribution companies. Disaggregation using a statistical approach for extracting end-use and or appliance level data from an aggregated energy profile is the most cost effective and scalable solution for getting and presenting this data. This project aims to investigate the potential of disaggregating the energy consumption data of residential consumers of Whitby Hydro Electric Corporation using the data collected from the smart meters. The main benefits of such investigation is to identify the energy waste and hence determine potential opportunities to improve the energy conservation programs. This is strategically important as it will help local distribution companies to improve their energy conservation program by turning them more effective. Also the outcome of the proposed research work will assist with customers' services and will assist with reaching residential conservation targets by providing more engagement with the residential customers. Also the outcome of the proposed research project will result in reducing the carbon footprint in the province by increasing the engagement of more customers into the energy programs offered in Ontario.