Energy Informatics: A research blog

From 6th to 7th of November, the 4th European Workshop on Non-Intrusive Load Monitoring was held in London, United Kingdom. This special event brought together researchers and professionals to present and discuss latest developments in the area of NILM as well as its applications.  The sessions comprised topics such as commercial & industrial NILM, innovative algorithms, deep learning approaches, and evaluation. Also, several vendors such as  Voltaware ,  Qualisteo  or  Verv  introduced their latest products. In the poster & demo session, Christoph presented a poster on "Appliance Detection in Power Meter Readings". The poster illustrates how correlation can be utilised to detect electrical appliances in power readings. Especially for hardware with limited computational resources this approach shows promising results. For more information about the presented work refer to our paper on correlation filters for appliance detection. ...

On June 28th, the Workshop  „Mind, Culture and Behaviour in the Digital Age”  took place at the University of Klagenfurt. The emphasis of the workshop was on research perspectives and challenges in times of IoT, Big Data, Digital Humanities, and Digitisation. Researchers from the departments of technical sciences, economic sciences, and humanities were invited to deliver a speech. Christoph Klemenjak gave a talk "o n the importance of data in energy systems". State of the art, work in progress and open research questions were presented. Furthermore, the talk states the research findings of the Smart Grids research group. In particular, the talk presents the following contributions: YoMo Smart Metering Board -  yomo.sourceforge.net Mjölnir Energy Advisor Framework -  mjoelnir.sourceforge.net GREEND Energy Consumption Dataset -  greend.sourceforge.net Without any doubt data will be among the most important resources in future. Exactly as all other resou...

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...