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Auflistung nach Autor:in "Michels, Rainer"

1 - 3 von 3
  • Konferenzbeitrag
    Detecting Consumer Devices by Applying Pattern Recognition to Smart Meter Signals
    (Proceedings of the 27th Conference on Environmental Informatics - Informatics for Environmental Protection, Sustainable Development and Risk Management, 2013) Guldner, Achim; Arns, Sebastian; Schunk, Tobias; Gollmer, Klaus-Uwe; Michels, Rainer; Naumann, Stefan
    Future energy supply requires an intelligent load management for efficient distribution of the available energy, at national level, as well as on a regional scale. For this purpose, one necessary prerequisite is the immediate detection of the currently connected appliances (loads), for example white or brown goods. If the devices that are currently active at the time of a data point are known, it is possible to level the load curve by means of selectively connecting and disconnecting appliances, which results in an optimized usage of the available energy. To realize the measurement of the energy consumption, we devised a low-investment system for centralized data acquisition and recorded and digitized characteristic load profiles. Afterwards, the application of different pattern matching algorithms allowed for recognizing and assigning individual loads from the measured sum signal. In the course of laboratory experiments, we could identify individual appliances and their combinations with this system.
  • Konferenzbeitrag
    Development of a Real-time Smart Meter for Non-Intrusive Load Monitoring and Appliance Disaggregation
    (EnviroInfo & ICT4S, Adjunct Proceedings, 2015) Jonetzko, Roman; Detzler, Matthias; Gollmer, Klaus-Uwe; Guldner, Achim; Huber, Marcel; Michels, Rainer; Naumann, Stefan; Ney, Martin
    Current studies about electrical energy efficiency potentials bring out that to make the most part of the saving potentials achievable, a feedback about the instantaneous consumed electrical energy is necessary. More detailed, an allocation of the electrical load to the particular device can enable a greater level of sensitivity in energy consumption of electrical appliances. Therefore, we pursued the aim of developing a low cost smart meter hardware, which fits the requirements for the detection of several devices and states via disaggregation algorithms. This is implemented by applying Fast Fourier Transformation to the measured data and sending the Fourier coefficients to the appliance disaggregation modul. In this paper, we describe the developed hardware in detail and show a visualization approach of the disaggregation results for providing the user with detailed information about device states.
  • Konferenzbeitrag
    Energieeinsparungen im Gebäudebetrieb durch visualisiertes Feedback an Nutzer: Datenerfassung und Datenvisualisierung in Nicht-Wohngebäuden
    (Informatik 2016, 2016) Naumann, Stefan; Christian, Andrea; Göttert, Christoph; Gollmer, Klaus-Uwe; Michels, Rainer; Rüffler, Stefan