Identifying the time profile of everyday activities in the home using smart meter data

Activities are a descriptive term for the common ways households spend their time. Examples include cooking, doing laundry, or socialising. Smart meter data can be used to generate time profiles of activities that are meaningful to households’ own lived experience. Activities are therefore a lens through which energy feedback to households can be made salient and understandable. This paper demonstrates a multi-step methodology for inferring hourly time profiles of ten household activities using smart meter data, supplemented by individual appliance plug monitors and environmental sensors. First, household interviews, video ethnography, and technology surveys are used to identify appliances and devices in the home, and their roles in specific activities. Second, ‘ontologies’ are developed to map out the relationships between activities and technologies in the home. One or more technologies may indicate the occurrence of certain activities. Third, data from smart meters, plug monitors and sensor data are collected. Smart meter data measuring aggregate electricity use are disaggregated and processed together with the plug monitor and sensor data to identify when and for how long different activities are occurring. Sensor data are particularly useful for activities that are not always associated with an energy-using device. Fourth, the ontologies are applied to the disaggregated data to make inferences on hourly time profiles of ten everyday activities. These include washing, doing laundry, watching TV (reliably inferred), and cleaning, socialising, working (inferred with uncertainties). Fifth, activity time diaries and structured interviews are used to validate both the ontologies and the inferred activity time profiles. Two case study homes are used to illustrate the methodology using data collected as part of a UK trial of smart home technologies. The methodology is demonstrated to produce reliable time profiles of a range of domestic activities that are meaningful to households. The methodology also emphasises the value of integrating coded interview and video ethnography data into both the development of the activity inference process

Elearning Technologies

When blogging tools first arrived in 1998, people asked “What’s a blog?” The word “blog” is a contraction of “Web log” and is used both as a noun as well as a verb. To blog is to write content to a blog. By design, blogs are best suited for the spontaneous thoughts and observations of an individual or team. They are not designed to facilitate rapid-fire back-and-forth discussion on a particular issue. Blogging tools are available as free or moderately priced services and as products you purchase and install on your own server. You may have noticed recently that many of websites now contain little graphical buttons with the word XML on them. When you click on the button, all you see is some jumbled text and computer code [ed: unless you have a newer web browser or an aggregator]. What's this all about? It's an RSS feed, and it's changing the way people access the Internet.Weblog, RSS, e-learning, RSS, blogging tools