Energy Informatics: A research blog

We are delighted to announce that our paper " On the Applicability of Correlation Filters for Appliance Detection in Smart Meter Readings " was accepted and presented at this year's SmartGridComm conference in Dresden. With our load classification approach based on correlation filters, we aim to provide a low-cost classification method for measurement equipment with limited computational capabilities such as networked sensors or smart plugs. Abstract: "Communication systems utilise correlation filters to detect waveforms. In a broader sense, these filters examine the amount of resemblance between a template pattern and the input pattern. In the domain of smart grids, many applications require the detection of active electrical appliances, their condition as well as their current state of operation. Furthermore, the identification of power eaters, the recognition of ageing effects, and the forecast of required maintenance represent important challenges in (ho...

YaY - An Open-Hardware Energy Measurement System for Feedback and Appliance Detection based on the Arduino Platform "To analyse user behaviour and energy consumption data in contemporary and future households, we need to monitor electrical appliance features as well as ambient appliance features. For this purpose, a distributed measurement system is required, which measures the entire power consumption of the household, the power consumption of selected household appliances, and the effect of these appliances on their environment. In this paper we present a distributed measurement system that records and monitors electrical household appliances. Our low-cost measurement system integrates the YaY smart meter, a set of smart plugs, and several networked ambient sensors. In conjunction with energy advisor tools the presented measurement system provides an efficient low-cost alternative to commercial energy monitoring systems by surpassing them with machine learning technique...