Publikationstyp: Konferenz: Sonstiges
Art der Begutachtung: Editorial review
Titel: How to collect current usage data outside the laboratory
Autor/-in: Baumann, Patrick
Heinzelmann, Andreas
et. al: No
Angaben zur Konferenz: 7th RME Research Conference, Virtual Conference, 19-20 October 2020
Erscheinungsdatum: 19-Okt-2020
Sprache: Englisch
Schlagwörter: Energiemessung; NILM; Stromdatenanalyse
Fachgebiet (DDC): 333.79: Energie
Zusammenfassung: Everybody is talking about saving energy. Since it’s always a good idea to reduce electrical power consumption as much as possible, it is not so easy to find the best way to do so. Without knowing in detail, how current is used, it is only a rough guess which electrical device could be optimized. But not only the device is responsible for power usage also the user operating the device has a big impact. Although it is easy to collect (electrical) data in a laboratory, just use a power-meter, getting information out from and insight in a “real” environment is more complicated. The goal is to get a meter between the power grid and an existing household – right after the official electrical meter. It is always easy to develop a customized solution, but usually, it is the slowest and most expensive solution. The usage of standardized and already available equipment solves many problems (e.g. certification, robustness) and is much cheaper. On the downside, you must work with what you get – almost no tweaks are possible. Through my work, I was able to collect many experiences in the collection of huge amounts of raw electrical data mostly with a self-developed smart-meter. In short; a raspberry-Pi computer combined with a standard energy-consumption-meter. Collecting precise electrical data over periods from weeks to over a year with a resolution of one second from different swiss households and industrial plants resulted in a wide collection of raw data. Just to collect constantly the raw data is only the first step, a big part of the work is the cleaning and preparation of the database. For example, further development of the firmware during measurement changes the data output; It is mandatory to harmonize all the data for further analysis. After this step, it is possible to use the data for many purposes. Getting a detailed insight of the daily electrical usage is just the easiest one. How about detecting some patterns? Now it is possible to do research far beyond “just saving energy”. The collected data is predestined for data mining, either statistical or by advanced artificial intelligence algorithm. Different methods lead to different results - this is the actual state of work I’d like to present.
URI: https://digitalcollection.zhaw.ch/handle/11475/20686
Volltext Version: Publizierte Version
Lizenz (gemäss Verlagsvertrag): Lizenz gemäss Verlagsvertrag
Departement: School of Engineering
Organisationseinheit: Institut für Energiesysteme und Fluid-Engineering (IEFE)
Enthalten in den Sammlungen:Publikationen School of Engineering

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Baumann, P., & Heinzelmann, A. (2020, October 19). How to collect current usage data outside the laboratory. 7th RME Research Conference, Virtual Conference, 19-20 October 2020.
Baumann, P. and Heinzelmann, A. (2020) ‘How to collect current usage data outside the laboratory’, in 7th RME Research Conference, Virtual Conference, 19-20 October 2020.
P. Baumann and A. Heinzelmann, “How to collect current usage data outside the laboratory,” in 7th RME Research Conference, Virtual Conference, 19-20 October 2020, Oct. 2020.
BAUMANN, Patrick und Andreas HEINZELMANN, 2020. How to collect current usage data outside the laboratory. In: 7th RME Research Conference, Virtual Conference, 19-20 October 2020. Conference presentation. 19 Oktober 2020
Baumann, Patrick, and Andreas Heinzelmann. 2020. “How to Collect Current Usage Data Outside the Laboratory.” Conference presentation. In 7th RME Research Conference, Virtual Conference, 19-20 October 2020.
Baumann, Patrick, and Andreas Heinzelmann. “How to Collect Current Usage Data Outside the Laboratory.” 7th RME Research Conference, Virtual Conference, 19-20 October 2020, 2020.


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