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    <title>BetterGrids Collection:</title>
    <link>http://item.bettergrids.org/handle/1001/91</link>
    <description />
    <pubDate>Fri, 01 May 2026 11:24:49 GMT</pubDate>
    <dc:date>2026-05-01T11:24:49Z</dc:date>
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      <title>Dominican Republic Electricity Transmission Network 2023</title>
      <link>http://item.bettergrids.org/handle/1001/762</link>
      <description>Title: Dominican Republic Electricity Transmission Network 2023
Abstract: This dataset gives a full overview of the current (up to 2022) transmission grid infrastructure of Dominican Republic including power plants, power stations, power towers and power lines with attributes such as length, assumed voltage level etc.. The dataset was produced by using smart tracing algorithms developed by NEO in house which uses grid probability map for determining areas to look for power towers and a deep learning model for power tower automatic detection. The power plants and (sub)stations collected from open source (Global power plant database, Global dam dataset, OpenStreetMap and Energydata.info etc.) as well as some existing power towers from OpenStreetMap dataset were used as starting point for smart tracing alogirthm, and Mapbox 50cm Very High Resolution imagery was used as input for detecting power towers using the trained deep learning model. The OSM points are also included into the dataset to make best use of existing dataset to achieve complete grid mapping coverage as much as possible in an efficient and effective way. The probability map and path finder is adapted based on Global Grid Finder approach :https://gridfinder.org/ Global power plant database: https://datasets.wri.org/dataset/globalpowerplantdatabase Global dam dataset: http://globaldamwatch.org/data/</description>
      <pubDate>Mon, 01 Jan 2024 00:00:00 GMT</pubDate>
      <guid isPermaLink="false">http://item.bettergrids.org/handle/1001/762</guid>
      <dc:date>2024-01-01T00:00:00Z</dc:date>
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    <item>
      <title>Open Access Power-Grid Frequency Database</title>
      <link>http://item.bettergrids.org/handle/1001/724</link>
      <description>Title: Open Access Power-Grid Frequency Database
Abstract: This repository stores and links the openly available power-grid frequency recordings across the globe. This database is comprised of open data existent across three dimensions: - TSO data: Transmission System's Operator (TSO) recordings made public; - Research projects: Open-data database research projects; - Independent Gatherings: Industrial, private, or personal recordings that were made publicly available.</description>
      <pubDate>Thu, 20 Aug 2020 00:00:00 GMT</pubDate>
      <guid isPermaLink="false">http://item.bettergrids.org/handle/1001/724</guid>
      <dc:date>2020-08-20T00:00:00Z</dc:date>
    </item>
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      <title>Grid Optimization (GO) Final Event Dataset</title>
      <link>http://item.bettergrids.org/handle/1001/674</link>
      <description>Title: Grid Optimization (GO) Final Event Dataset
Authors: Go Competition Team
Abstract: This dataset represents the final GO competition event dataset, posted December 3, 2019 on the competition site.&#xD;
&#xD;
The resources attached to this dataset represent:&#xD;
- Real-Time (used with Divisions 1 and 3; 10 minute time limit for code1) ,&#xD;
- Offline (used with Divisions 2 and 4; 45 minute time limit for code1).&#xD;
&#xD;
Each resource (zip file) consists of 17 Network Models with 20 scenarios each. The * in the Network Model name is replaced with either R for Real-Time (Divisions 1 and 3), or O for Offline (Divisions 2 and 4). The only difference is the starting information (5 variables) in the raw files. Each resource contains, for each scenario, the following types of data:&#xD;
- .raw - the power flow network configuration data file,&#xD;
- .rop - the cost function data file,&#xD;
- .inl - the participation factor data file,&#xD;
- .con - the contingency description data file (see Input files and format)&#xD;
&#xD;
Important note: The number of contingencies for Network_13 is incorrect in the results information sent to the entrant teams. However, the values provided in the network information file are correct.&#xD;
Citation - Please use this citation in any publication where this data is used: &#xD;
(e.g., Kuchar, Olga Anna. PNWSGD Data Collection: University of Washington Facilities Services Site Tests. United States: N. p., 2015. Web. doi:10.17041/drp/1440577. )</description>
      <pubDate>Sat, 09 Jan 2021 00:00:00 GMT</pubDate>
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      <dc:date>2021-01-09T00:00:00Z</dc:date>
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      <title>IEEE 118-Bus Power Flow Test Case</title>
      <link>http://item.bettergrids.org/handle/1001/666</link>
      <description>Title: IEEE 118-Bus Power Flow Test Case
Authors: Christie, Rich
Abstract: The IEEE 118 Bus Test Case represents a portion of the American Electric Power System (in the Midwestern US) as of December, 1962. The data was manually entered from a copy of a copy of a copy, etc., of the AEP 118 Bus Test System document dated December, 1962 and "made available to the electric utility industry as a standard test case".) It was entered in PECO PSAP format by Rich Christie at the University of Washington in 1993. Please call any typos in the PSAP version to my attention.&#xD;
&#xD;
It was later entered in IEEE Common Data Format by Rich Christie at the University of Washington in 1993. Please call any typos in the CDF file to my attention.&#xD;
&#xD;
Most of the bus names in the file were obtained from the one line diagram distributed with the package. The names were in a small font, and after many generations of copying legibility was poor, so errors of transcription may have occurred. Other bus names are simply made up.&#xD;
&#xD;
The base KV levels in the bus names appear to be a bad guess.&#xD;
&#xD;
The line MVA limits were not part of the original data and are made up.&#xD;
&#xD;
As a test case, this one has a lot of voltage control devices, and is quite robust, converging in 5 or so iterations with a fast decoupled power flow.&#xD;
&#xD;
Rich Christie - May, 1993</description>
      <pubDate>Wed, 17 Jan 2018 00:00:00 GMT</pubDate>
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      <dc:date>2018-01-17T00:00:00Z</dc:date>
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