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公司中得到了如此多的关注。数百万美元已经花费在安装智能电表上，但安装这种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，但没有被业主或当地配电公司使用。使用统计方法从汇总的能源配置文件中提取最终用途和/或设备级数据的分解是用于获取和呈现此数据的最具成本效益和可扩展的解决方案。本项目的目的是调查的潜力，分解的住宅消费者的惠特比水电公司使用的数据收集的智能电表的能源消耗数据。该等调查的主要好处是识别能源浪费，从而确定改善节能计划的潜在机会。这具有重要的战略意义，因为它将有助于本地分销 公司通过提高他们的节能计划，使他们更有效。此外，拟议研究工作的结果将有助于客户的服务，并将有助于通过提供更多的参与与住宅客户达到住宅保护目标。此外，拟议的研究项目的结果将导致减少碳足迹在该省增加参与更多的客户到能源计划提供的安大略。

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.