<codeBook xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:xsd="http://www.w3.org/2001/XMLSchema" xsi:schemaLocation="ddi:codebook:2_5 http://www.ddialliance.org/Specification/DDI-Codebook/2.5/XMLSchema/codebook.xsd" xmlns="ddi:codebook:2_5">
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    <citation>
      <titlStmt>
        <titl xml:lang="sv"></titl>
        <parTitl xml:lang="en">Co-LivEn : COllective LIVing ENergy Dataset</parTitl>
        <IDNo agency="SND">doi-10-5281-zenodo-6480220-0</IDNo>
        <IDNo agency="DOI">https://doi.org/10.5281/zenodo.6480220</IDNo>
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        <producer xml:lang="en" abbr="SND">Swedish National Data Service</producer>
        <producer xml:lang="sv" abbr="SND">Svensk nationell datatjänst</producer>
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      <holdings URI="https://doi.org/10.5281/zenodo.6480220">Landing page</holdings>
    </citation>
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    <citation>
      <titlStmt>
        <titl xml:lang="sv"></titl>
        <parTitl xml:lang="en">Co-LivEn : COllective LIVing ENergy Dataset</parTitl>
        <IDNo agency="SND">doi-10-5281-zenodo-6480220-0</IDNo>
        <IDNo agency="DOI">https://doi.org/10.5281/zenodo.6480220</IDNo>
      </titlStmt>
      <rspStmt>
        <AuthEnty xml:lang="en" affiliation="KTH Royal Institute of Technology">Ramana R. Avula</AuthEnty>
        <AuthEnty xml:lang="en" affiliation="KTH Royal Institute of Technology">Tobias J. Oechtering</AuthEnty>
        <AuthEnty xml:lang="en" affiliation="KTH Royal Institute of Technology">Daniel Månsson</AuthEnty>
      </rspStmt>
      <prodStmt />
      <distStmt>
        <distrbtr xml:lang="en" abbr="SND" URI="https://snd.se">Swedish National Data Service</distrbtr>
        <distrbtr xml:lang="sv" abbr="SND" URI="https://snd.se">Svensk nationell datatjänst</distrbtr>
        <distDate xml:lang="en" date="2022-04-23" />
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        <version elementVersion="0" elementVersionDate="2022-04-23" />
      </verStmt>
      <holdings URI="https://doi.org/10.5281/zenodo.6480220">Landing page</holdings>
    </citation>
    <stdyInfo>
      <subject />
      <abstract xml:lang="en" contentType="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.</abstract>
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    </method>
    <dataAccs>
      <useStmt>
        <restrctn xml:lang="en">Access to data through an external actor. Data are freely accessible.</restrctn>
        <restrctn xml:lang="sv">Åtkomst till data via extern aktör. Data är fritt tillgängliga.</restrctn>
        <conditions elementVersion="info:eu-repo-Access-Terms vocabulary">openAccess</conditions>
      </useStmt>
    </dataAccs>
    <othrStdyMat />
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