Dataset Open Access

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

Braeuer, Fritz


DataCite XML Export

<?xml version='1.0' encoding='utf-8'?>
<resource xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns="http://datacite.org/schema/kernel-4" xsi:schemaLocation="http://datacite.org/schema/kernel-4 http://schema.datacite.org/meta/kernel-4.1/metadata.xsd">
  <identifier identifierType="DOI">10.5281/zenodo.3899018</identifier>
  <creators>
    <creator>
      <creatorName>Braeuer, Fritz</creatorName>
      <givenName>Fritz</givenName>
      <familyName>Braeuer</familyName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0002-1555-0625</nameIdentifier>
      <affiliation>Karlsruhe Institute of Technology</affiliation>
    </creator>
  </creators>
  <titles>
    <title>Load profile data of 50 industrial plants in Germany for one year</title>
  </titles>
  <publisher>Zenodo</publisher>
  <publicationYear>2020</publicationYear>
  <subjects>
    <subject>load profile</subject>
    <subject>industry</subject>
    <subject>SME</subject>
    <subject>electricity demand</subject>
  </subjects>
  <dates>
    <date dateType="Issued">2020-06-17</date>
  </dates>
  <language>en</language>
  <resourceType resourceTypeGeneral="Dataset"/>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="url">https://zenodo.org/record/3899018</alternateIdentifier>
  </alternateIdentifiers>
  <relatedIdentifiers>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.5281/zenodo.3899017</relatedIdentifier>
  </relatedIdentifiers>
  <version>1.0</version>
  <rightsList>
    <rights rightsURI="https://creativecommons.org/licenses/by/4.0/legalcode">Creative Commons Attribution 4.0 International</rights>
    <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
  </rightsList>
  <descriptions>
    <description descriptionType="Abstract">&lt;p&gt;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.&lt;/p&gt;

&lt;p&gt;The dataset is divided into two:&lt;/p&gt;

&lt;ul&gt;
	&lt;li&gt;LoadProfile_20IPs_2016 shows load profiles of 20 industrial plants (IP) for the year 2016.&lt;/li&gt;
	&lt;li&gt;LoadProfile_30IPs_2017 shows load profiles of 30 industrial plants (IP) for the year 2017.&lt;/li&gt;
&lt;/ul&gt;

&lt;p&gt;The IPs from the dataset for 2016 do not reappear in the dataset for 2017.&lt;/p&gt;

&lt;p&gt;&amp;nbsp;&lt;/p&gt;

&lt;p&gt;The dataset LoadProfile_20IPs_2016 is evaluated in the following publication:&lt;/p&gt;

&lt;ul&gt;
	&lt;li&gt;Covic, N., Braeuer, F., McKenna, R., Pandzic, H., Optimizing Industrial Facilities&amp;rsquo; Active Participation&lt;br&gt;
	in Electricity Markets under Uncertainty, 2020.&lt;/li&gt;
&lt;/ul&gt;

&lt;p&gt;Both datasets together are evaluated in multiple publications:&lt;/p&gt;

&lt;ul&gt;
	&lt;li&gt;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, https://doi.org/10.1016/j.jclepro.2020.121588.&lt;/li&gt;
	&lt;li&gt;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, https://doi.org/10.1016/j.apenergy.2019.01.050.&lt;/li&gt;
&lt;/ul&gt;

&lt;p&gt;Enjoy.&lt;/p&gt;</description>
  </descriptions>
</resource>
232
253
views
downloads
All versions This version
Views 232232
Downloads 253253
Data volume 1.2 GB1.2 GB
Unique views 200200
Unique downloads 178178

Share

Cite as