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Co-LivEn : COllective LIVing ENergy Dataset

Research datakeyboard_double_arrow_right Dataset 23 Apr 2022Publisher:Zenodo

Authors: Ramana R. Avula; Tobias J. Oechtering; Daniel Månsson;

doi: 10.5281/zenodo.6480219 , 10.5281/zenodo.6480220

Co-LivEn : COllective LIVing ENergy Dataset

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Abstract

The dataset contains detailed electricity measurements of appliances in a collective living (co-living) student apartment at KTH Live-in-Lab. The measurements included are RMS voltage, RMS current, real power, and power factor. The data was collected over a period of 277 days between 28th August 2020 and 31st May 2021 with 1 second time resolution. The compressed file "appliance_csv.zip" contains data in plain CSV file format, whereas "appliance_mat.zip" contains data in MATLAB file format. For more detailed information and insights into the dataset and the data collection process, refer to the following article. Kindly cite this when using the dataset. R. R. Avula, T. J. Oechtering and D. Månsson, "Adversarial Inference Control in Cyber-Physical Systems: A Bayesian Approach With Application to Smart Meters," in IEEE Access, vol. 12, pp. 24933-24948, 2024, doi: 10.1109/ACCESS.2024.3365270.

Related Organizations

Royal Institute of Technology
Sweden

Keywords

smart meter, appliance energy, household energy

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