2026-10-13 https://api.researchdata.se/oai-pmh

oai:researchdata.se:doi-10-5281-zenodo-6480220/0 2026-04-23 subject:ssif:20304 subject:ssif:203 subject:ssif:2 principal:slug:royal-institute-of-technology

info:eu-repo/semantics/other http://purl.org/dc/dcmitype/Dataset https://doi.org/10.5281/zenodo.6480220 Co-LivEn : COllective LIVing ENergy Dataset https://orcid.org/0000-0001-9672-2689 https://orcid.org/0000-0002-0036-9049 https://orcid.org/0000-0003-4740-1832 Energy Engineering Energiteknik 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. info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/ Royal Institute of Technology Kungliga Tekniska högskolan 2022-04-23T00:00:00Z