Opportunistic smart meter data analysis for smart sensing

近年来，智能计量基础设施技术在电力行业受到广泛关注。安装智能电表已经花费了数百万美元，但安装这种基础设施并没有带来能源节约和经济效益。随着智能电表的安装，大量的数据被收集，但没有被房主或当地的配电公司使用。使用统计方法从汇总的能源概况中提取最终用途和/或设备级数据，是获取和呈现这些数据的最具成本效益和可扩展性的解决方案。该项目旨在研究利用智能电表收集的数据，对惠特比水电公司住宅用户的能源消耗数据进行分类的潜力。这种调查的主要好处是确定能源浪费，从而确定改善节能计划的潜在机会。这在战略上很重要，因为它将有助于本地分销

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.