Dataset Open Access

Load profile data of 50 industrial plants in Germany for one year

Braeuer, Fritz

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  "publisher": "Zenodo", 
  "DOI": "10.5281/zenodo.3899018", 
  "language": "eng", 
  "title": "Load profile data of 50 industrial plants in Germany for one year", 
  "issued": {
    "date-parts": [
  "abstract": "<p>This dataset holds the electric load profiles of 50 small and mid-size enterprises in Germany. The load profiles are in 15-minute time resolution for one year. The load is shown in kW as an average over 15 minutes.</p>\n\n<p>The dataset is divided into two:</p>\n\n<ul>\n\t<li>LoadProfile_20IPs_2016 shows load profiles of 20 industrial plants (IP) for the year 2016.</li>\n\t<li>LoadProfile_30IPs_2017 shows load profiles of 30 industrial plants (IP) for the year 2017.</li>\n</ul>\n\n<p>The IPs from the dataset for 2016 do not reappear in the dataset for 2017.</p>\n\n<p>&nbsp;</p>\n\n<p>The dataset LoadProfile_20IPs_2016 is evaluated in the following publication:</p>\n\n<ul>\n\t<li>Covic, N., Braeuer, F., McKenna, R., Pandzic, H., Optimizing Industrial Facilities&rsquo; Active Participation<br>\n\tin Electricity Markets under Uncertainty, 2020.</li>\n</ul>\n\n<p>Both datasets together are evaluated in multiple publications:</p>\n\n<ul>\n\t<li>Braeuer, F., Finck, R., McKenna, R., Comparing empirical and model-based approaches for calculating dynamic grid emission factors: An application to CO2-minimizing storage dispatch in Germany, Journal of Cleaner Production, Volume 266, 2020, 121588, ISSN 0959-6526,</li>\n\t<li>Braeuer, F., Rominger, J., McKenna, R.,Fichtner, W., Battery storage systems: An economic model-based analysis of parallel revenue streams and general implications for industry, Applied Energy, Volume 239, 2019, Pages 1424-1440, ISSN 0306-2619,</li>\n</ul>\n\n<p>Enjoy.</p>", 
  "author": [
      "family": "Braeuer, Fritz"
  "version": "1.0", 
  "type": "dataset", 
  "id": "3899018"
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