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  <channel rdf:about="http://item.bettergrids.org/handle/1001/86">
    <title>BetterGrids Collection:</title>
    <link>http://item.bettergrids.org/handle/1001/86</link>
    <description />
    <items>
      <rdf:Seq>
        <rdf:li rdf:resource="http://item.bettergrids.org/handle/1001/753" />
        <rdf:li rdf:resource="http://item.bettergrids.org/handle/1001/733" />
        <rdf:li rdf:resource="http://item.bettergrids.org/handle/1001/731" />
        <rdf:li rdf:resource="http://item.bettergrids.org/handle/1001/728" />
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    </items>
    <dc:date>2026-05-02T01:34:51Z</dc:date>
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  <item rdf:about="http://item.bettergrids.org/handle/1001/753">
    <title>OpenSynth</title>
    <link>http://item.bettergrids.org/handle/1001/753</link>
    <description>Title: OpenSynth
Abstract: The data repository is still under construction. In the mean time, Centre for Net Zero has published a Faraday's output on Zenodo. This dataset contains 10 million synthetic load profiles of trained on over 300M smart meter readings from 20K Octopus Energy UK households sampled between 2021 and 2022, and is conditioned on labels such as the:&#xD;
&#xD;
Property types: house, flat, terraced, detached, semi-detached etc&#xD;
Energy performance certificate (EPC) rating: A/B/C, D/E, F/G etc&#xD;
Low Carbon Technology (LCT) ownership: heat pumps, electric vehicles, solar PVs etc&#xD;
Seasonality: days of the week and month of the year</description>
    <dc:date>2024-07-25T00:00:00Z</dc:date>
  </item>
  <item rdf:about="http://item.bettergrids.org/handle/1001/733">
    <title>Ausgrid Distribution zone substation data</title>
    <link>http://item.bettergrids.org/handle/1001/733</link>
    <description>Title: Ausgrid Distribution zone substation data
Abstract: Ausgrid operates a network with over 180 zone substations. These substations form the boundary between the sub-transmission network and the distribution (11kV) network. In accordance with the National Electricity Rules Chapter 5 (Rule 5.13A), Ausgrid is making available historical interval demand data (in Megawatts) for all zone substations not subject to third party privacy concerns. Please refer to the Australian Energy Market Commission for further information on this rule.&#xD;
&#xD;
Each year, within 30 business days of the publication of our Distribution and Transmission Annual Planning Report, Ausgrid will provide 12 months worth of interval data in .csv format. The Reporting Year (as defined in Rule 5.13A) will be from May to May (i.e the 2015/16 data will cover the period May 2015 to April 2016).</description>
    <dc:date>2024-11-30T00:00:00Z</dc:date>
  </item>
  <item rdf:about="http://item.bettergrids.org/handle/1001/731">
    <title>Outage Data Initiative Nationwide</title>
    <link>http://item.bettergrids.org/handle/1001/731</link>
    <description>Title: Outage Data Initiative Nationwide
Abstract: The Outage Data Initiative Nationwide (ODIN) is a network of leading electric service providers who are committed to providing comprehensive interoperable power outage data that enables utilities and others to exchange data freely with designated stakeholders at all levels — helping restoration, reliability, risk mitigation, emergency response, and more.&#xD;
Leading US electric utility vendors support ODIN. Many electric utilities can participate in as little as 30 minutes and ODIN provides technical support for implementation. ODIN leverages two easily implementable standards for reporting electrical power outage data via Common Information Model (CIM) IEC 61968-3 and MultiSpeak.</description>
    <dc:date>2024-01-01T00:00:00Z</dc:date>
  </item>
  <item rdf:about="http://item.bettergrids.org/handle/1001/728">
    <title>Demand-Side Grid Model (dsgrid) Data from the Electrification Futures Project (EFS)</title>
    <link>http://item.bettergrids.org/handle/1001/728</link>
    <description>Title: Demand-Side Grid Model (dsgrid) Data from the Electrification Futures Project (EFS)
Abstract: This data set contains the full-resolution and state-level data described in the linked technical report (https://www.nrel.gov/docs/fy18osti/71492.pdf). It can be accessed with the NREL-dsgrid-legacy-efs-api, available on GitHub at https://github.com/dsgrid/dsgrid-legacy-efs-api and through PyPI (pip install NREL-dsgrid-legacy-efs-api). The data format is HDF5. The API is written in Python.&#xD;
&#xD;
This initial dsgrid data set, whose description was originally published in 2018, covers electricity demand in the contiguous United States (CONUS) for the historical year of 2012. It is a proof-of-concept demonstrating the feasibility of reconciling bottom-up demand modeling results with top-down information about electricity demand to create a more detailed description than is possible with either type of data source on its own. The result is demand data that is more highly resolved along geographic, temporal, sectoral, and end-use dimensions as may be helpful for conducting electricity sector-wide "what-if" analysis of, e.g., energy efficiency, electrification, and/or demand flexibility.&#xD;
&#xD;
Although we conducted bottom-up versus top-down validation, the final residuals were significant, especially at higher geographic and temporal resolution. Please see the Executive Summary and/or Section 3 of the report to obtain an understanding of the data set limitations before deciding whether these data are suitable for any particular use case.&#xD;
&#xD;
New dsgrid datasets are under development. Please visit https://www.nrel.gov/analysis/dsgrid.html for the latest information which is also linked in the data resources.</description>
    <dc:date>2021-07-21T00:00:00Z</dc:date>
  </item>
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