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    <title>BetterGrids Community:</title>
    <link>http://item.bettergrids.org/handle/1001/90</link>
    <description />
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        <rdf:li rdf:resource="http://item.bettergrids.org/handle/1001/762" />
        <rdf:li rdf:resource="http://item.bettergrids.org/handle/1001/754" />
        <rdf:li rdf:resource="http://item.bettergrids.org/handle/1001/732" />
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    <dc:date>2026-05-14T04:04:48Z</dc:date>
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  <item rdf:about="http://item.bettergrids.org/handle/1001/762">
    <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>
    <dc:date>2024-01-01T00:00:00Z</dc:date>
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  <item rdf:about="http://item.bettergrids.org/handle/1001/754">
    <title>GenX</title>
    <link>http://item.bettergrids.org/handle/1001/754</link>
    <description>Title: GenX
Abstract: GenX is a highly-configurable open-source electricity resource capacity expansion model that incorporates several state-of-the-art practices in electricity system planning to offer improved decision support for a changing electricity landscape. GenX is a constrained linear or mixed integer linear optimization model that determines the portfolio of electricity generation, storage, transmission, and demand-side resource investments and operational decisions to meet electricity demand in one or more future planning years at lowest cost, while subject to a variety of power system operational constraints, resource availability limits, and other imposed environmental, market design, and policy constraints.</description>
    <dc:date>2025-07-12T00:00:00Z</dc:date>
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  <item rdf:about="http://item.bettergrids.org/handle/1001/732">
    <title>Reliability Test System–Grid Modernization Lab Consortium</title>
    <link>http://item.bettergrids.org/handle/1001/732</link>
    <description>Title: Reliability Test System–Grid Modernization Lab Consortium
Abstract: The Reliability Test System–Grid Modernization Lab Consortium is a modernized, medium-scale test data set with many features of modern electric power systems.&#xD;
&#xD;
Three layers of maps labeled (top) Node Network, (middle) Wind Resource, and (bottom) Solar Resource.&#xD;
The development and testing of controls, analytics, and optimization require tangible, accessible data that exhibit realistic phenomena. The Institute of Electrical and Electronics Engineers Reliability Test System has many desirable features. This updated version introduces a generation mix that is more representative of modern power systems by removing several nuclear- and oil-based generating units and adding natural gas, wind, solar photovoltaics, concentrating solar power, and energy storage.&#xD;
&#xD;
The update also assigns the test system a geographic location in the southwestern United States to enable the integration of spatio-temporally consistent wind, solar, and load data with forecasts. Additional updates include common reliability test system transmission modifications in published literature, definitions for reserve product requirements, and market simulation descriptions to enable benchmarking of multiperiod power system scheduling problems.</description>
    <dc:date>2022-03-07T00:00:00Z</dc:date>
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  <item rdf:about="http://item.bettergrids.org/handle/1001/724">
    <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>
    <dc:date>2020-08-20T00:00:00Z</dc:date>
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