100+ datasets found
  1. U.S. Electric Power Transmission Lines

    • nrsig-uw.hub.arcgis.com
    • disasterpartners.org
    • +3more
    Updated Aug 16, 2022
    + more versions
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    Esri U.S. Federal Datasets (2022). U.S. Electric Power Transmission Lines [Dataset]. https://nrsig-uw.hub.arcgis.com/datasets/fedmaps::u-s-electric-power-transmission-lines
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    Dataset updated
    Aug 16, 2022
    Dataset provided by
    Esrihttp://esri.com/
    Authors
    Esri U.S. Federal Datasets
    Area covered
    Description

    U.S. Electric Power Transmission LinesThis feature layer, utilizing data from Homeland Infrastructure Foundation-Level Data (HIFLD), depicts electric power transmission lines in the United States. Per HIFLD, "Transmission Lines are the system of structures, wires, insulators and associated hardware that carry electric energy from one point to another in an electric power system. Lines are operated at relatively high voltages varying from 69 kV up to 765 kV, and are capable of transmitting large quantities of electricity over long distances. Underground transmission lines are included where sources were available."138 Kilovolt Transmission LineData downloaded: 5/16/2025Data source: Transmission LinesData modification: noneFor more information: Electricity ExplainedSupport documentation: Transmission LinesFor feedback, please contact: ArcGIScomNationalMaps@esri.comThe Homeland Infrastructure Foundation-Level DataPer HIFLD, "The Homeland Infrastructure Foundation-Level Data (HIFLD) Subcommittee was established…to address improvements in collection, processing, sharing, and protection of homeland infrastructure geospatial information across multiple levels of government, and to develop a common foundation of homeland infrastructure data to be used for visualization and analysis on all classification domains."

  2. W

    California Electric Utility Service Territory

    • wifire-data.sdsc.edu
    • gis-calema.opendata.arcgis.com
    csv, esri rest +4
    Updated Jan 24, 2020
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    CA Governor's Office of Emergency Services (2020). California Electric Utility Service Territory [Dataset]. https://wifire-data.sdsc.edu/dataset/california-electric-utility-service-territory
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    geojson, html, zip, esri rest, kml, csvAvailable download formats
    Dataset updated
    Jan 24, 2020
    Dataset provided by
    CA Governor's Office of Emergency Services
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Area covered
    California
    Description

    This feature class represents electric power retail service territories. These are areas serviced by electric power utilities responsible for the retail sale of electric power to local customers, whether residential, industrial, or commercial. The following updates have been made since the previous release: 7 features added, numerous geometries improved, and geographic coverage expanded to include American Samoa, Guam, Northern Mariana Islands, and Virgin Islands.

  3. Electric Investor Owned Utility Areas

    • catalog.data.gov
    • data.ca.gov
    • +5more
    Updated Nov 27, 2024
    + more versions
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    California Energy Commission (2024). Electric Investor Owned Utility Areas [Dataset]. https://catalog.data.gov/dataset/electric-investor-owned-utility-areas-7a214
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    Dataset updated
    Nov 27, 2024
    Dataset provided by
    California Energy Commissionhttp://www.energy.ca.gov/
    Description

    Map of the six electric investor owned utility (IOU) areas in California:- Bear Valley Electric Service- Liberty Utilities- PacifiCorp- PG&E: Pacific Gas & Electric Company- SDG&E: San Diego Gas & Electric Company- SCE: Southern California Edison

  4. e

    Uganda - Electricity Transmission Network - Dataset - ENERGYDATA.INFO

    • energydata.info
    Updated Mar 31, 2017
    + more versions
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    (2017). Uganda - Electricity Transmission Network - Dataset - ENERGYDATA.INFO [Dataset]. https://energydata.info/dataset/uganda-electricity-transmission-network-2017
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    Dataset updated
    Mar 31, 2017
    License

    Open Database License (ODbL) v1.0https://www.opendatacommons.org/licenses/odbl/1.0/
    License information was derived automatically

    Area covered
    Uganda
    Description

    The datasets are sourced from the Ugandan Energy Sector GIS Working Group Open Data Site, developed and maintained by the Ugandan Energy Sector GIS Working Group. The Ugandan Energy Sector GIS Working Group’s mission is to develop a high quality GIS for the Energy Sector of Uganda in order to drive informed decision-making. As such, it brings datasets together in one place, organize them, keep them updated, and make public data available to all stakeholders. Link: http://data-energy-gis.opendata.arcgis.com/ The transmission line geojson and zipped shapefiles contain existing, planned, under construction lines. The source link: http://data-energy-gis.opendata.arcgis.com/datasets/6db06d51b0a34c9b989fc54c0d25c092_0 The substation geojson and zipped shapefiles contain existing, planned, under construction substations. The source link: http://data-energy-gis.opendata.arcgis.com/datasets/a7ef2af5ca9249babc5b20602edaba59_0 The transmission and substation datasets were last updated on March 9 2017.

  5. m

    Data for: A GIS-based model to assess electric energy consumptions and...

    • data.mendeley.com
    Updated Jan 9, 2019
    + more versions
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    Davide Astiaso Garcia (2019). Data for: A GIS-based model to assess electric energy consumptions and usable renewable energy potential in Lazio Region at municipality scale [Dataset]. http://doi.org/10.17632/fgmdbys7fm.1
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    Dataset updated
    Jan 9, 2019
    Authors
    Davide Astiaso Garcia
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Area covered
    Lazio
    Description

    Annex 1 - plants powered by RES in the Lazio Region; Annex 2 - Electricity consumptions, RES electricity production and percentages of electricity consumption from local RES for each Lazio Municipality; Annex 3 - Additional PV power and PV surface for each Lazio Municipality

  6. a

    Substations

    • hub.arcgis.com
    • gis-bradd-ky.opendata.arcgis.com
    Updated May 20, 2022
    + more versions
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    Barren River Area Development District (2022). Substations [Dataset]. https://hub.arcgis.com/maps/BRADD-KY::substations
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    Dataset updated
    May 20, 2022
    Dataset authored and provided by
    Barren River Area Development District
    Area covered
    Description

    BRADD GIS staff digized the substation layer by following transmission lines. It is not intended to be an authoritative source of data as there are likely substations missing from the dataset.Electric Company offices were digitized by BRADD staff using existing address point information.The transmission line feature layer, utilizing data from Homeland Infrastructure Foundation-Level Data, depicts electric power transmission lines in the United States.DescriptionU.S. Electric Power Transmission LinesThis feature layer, utilizing data from Homeland Infrastructure Foundation-Level Data (HIFLD), depicts electric power transmission lines in the United States. Per HIFLD, "Transmission Lines are the system of structures, wires, insulators and associated hardware that carry electric energy from one point to another in an electric power system. Lines are operated at relatively high voltages varying from 69 kV up to 765 kV, and are capable of transmitting large quantities of electricity over long distances. Underground transmission lines are included where sources were available."138 Kilovolt Transmission LineData currency: This cached Esri service is checked weekly for updates from its federal source (Electric Power Transmission Lines)Data modification: noneFor more information: Electricity ExplainedFor feedback please contact: ArcGIScomNationalMaps@esri.comThe Homeland Infrastructure Foundation-Level DataPer HIFLD, "The Homeland Infrastructure Foundation-Level Data (HIFLD) Subcommittee was established…to address improvements in collection, processing, sharing, and protection of homeland infrastructure geospatial information across multiple levels of government, and to develop a common foundation of homeland infrastructure data to be used for visualization and analysis on all classification domains."

  7. Electric Utility Service Areas

    • catalog.data.gov
    • data.cnra.ca.gov
    • +4more
    Updated Nov 27, 2024
    + more versions
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    California Energy Commission (2024). Electric Utility Service Areas [Dataset]. https://catalog.data.gov/dataset/electric-utility-service-areas-b01aa
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    Dataset updated
    Nov 27, 2024
    Dataset provided by
    California Energy Commissionhttp://www.energy.ca.gov/
    Description

    Map of the electric utility service areas in California.

  8. Gas Insulated Substation GIS Market Report | Global Forecast From 2025 To...

    • dataintelo.com
    csv, pdf, pptx
    Updated Sep 22, 2024
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    Dataintelo (2024). Gas Insulated Substation GIS Market Report | Global Forecast From 2025 To 2033 [Dataset]. https://dataintelo.com/report/global-gas-insulated-substation-gis-market
    Explore at:
    csv, pptx, pdfAvailable download formats
    Dataset updated
    Sep 22, 2024
    Dataset authored and provided by
    Dataintelo
    License

    https://dataintelo.com/privacy-and-policyhttps://dataintelo.com/privacy-and-policy

    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    Gas Insulated Substation (GIS) Market Outlook



    The global Gas Insulated Substation (GIS) market size was valued at approximately USD 20.8 billion in 2023 and is anticipated to reach USD 35.6 billion by 2032, growing at a compound annual growth rate (CAGR) of 6.0% during the forecast period. This robust growth is primarily driven by the increasing demand for compact and efficient power transmission and distribution systems.



    One of the fundamental growth factors driving the GIS market is the rising demand for electricity due to rapid urbanization and industrialization across various regions. The growing population and expanding cities necessitate the development of reliable and efficient power infrastructure, prompting the adoption of gas insulated substations. These substations are preferred over conventional air-insulated substations due to their compact size, reduced maintenance requirements, and enhanced safety features, making them ideal for urban and industrial applications.



    Another significant growth factor is the increasing investment in smart grid technologies. Governments and utilities worldwide are investing heavily in upgrading their power grids to improve efficiency, reliability, and sustainability. Gas insulated substations are a key component of these modernized grids, offering advanced features such as remote monitoring, automation, and integration with renewable energy sources. This trend is particularly evident in developed regions like North America and Europe, where the focus on smart grid development is strong.



    The need for sustainable and environmentally friendly power solutions is also propelling the GIS market. Gas insulated substations use sulfur hexafluoride (SF6) gas, which has excellent insulating and arc-quenching properties, allowing for more compact and efficient designs. Although SF6 is a potent greenhouse gas, advancements in technology are leading to the development of alternatives and mitigation strategies to minimize its environmental impact. The growing emphasis on reducing carbon emissions and achieving sustainability goals is driving utilities to adopt GIS solutions as part of their green initiatives.



    From a regional perspective, Asia Pacific is expected to witness the fastest growth in the GIS market during the forecast period. The region's rapid economic development, coupled with significant investments in infrastructure and industrial projects, is boosting the demand for advanced power transmission and distribution systems. Countries like China and India are leading this growth, with extensive plans to expand their power grids and improve the reliability of electricity supply. Additionally, government initiatives to promote renewable energy integration are further fueling the demand for GIS in the region.



    Voltage Type Analysis



    The GIS market is segmented by voltage type into medium voltage, high voltage, and extra high voltage categories. Medium voltage GIS is typically used for power distribution in urban areas and industrial facilities. The demand for medium voltage GIS is driven by the increasing need for reliable and compact substation solutions in densely populated urban environments where space is limited. The advantages of medium voltage GIS, such as reduced footprint and lower maintenance costs, make them an attractive option for utilities and industrial users aiming to optimize their infrastructure.



    High voltage GIS, on the other hand, is essential for power transmission over long distances. With the growing demand for electricity and the need to transmit power from remote generation sites to consumption centers, high voltage GIS is gaining traction. These substations ensure minimal power losses during transmission and offer enhanced reliability and safety. The expansion of renewable energy projects, such as wind and solar farms, which are often located far from urban centers, is further driving the demand for high voltage GIS.



    Extra high voltage GIS is utilized in applications requiring the highest levels of power transmission reliability, such as interconnecting large power grids and supporting cross-border electricity trade. The increasing need to enhance grid stability and interconnect different regional grids to balance supply and demand is fostering the growth of extra high voltage GIS. These substations provide robust solutions for managing the challenges associated with long-distance power transmission and integrating diverse energy sources into the grid.



    The development and adoption of advanced technologies are also infl

  9. Operational Electricity Market California, 2020

    • catalog.data.gov
    • data.ca.gov
    • +6more
    Updated Nov 27, 2024
    + more versions
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    California Energy Commission (2024). Operational Electricity Market California, 2020 [Dataset]. https://catalog.data.gov/dataset/operational-electricity-market-california-2020-12b28
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    Dataset updated
    Nov 27, 2024
    Dataset provided by
    California Energy Commissionhttp://www.energy.ca.gov/
    Area covered
    California
    Description

    Map of the operational power plants in California that are greater than 1 MW in capacity and operational in 2018. This data is aggregated from the Quarterly Fuel and Energy Report (QFER) and Wind Performance Reporting System (WPRS) datasets.Note:- Does not include power plants that retired in the 2018 calendar year.- Wind project counts and capacity may differ from other published reports due to the technical aspects of individual projects and methodology. Please refer to the WPRS for more detailed and up-to-date information on wind generation in the state.For more information contact:QFER:Michael NybergMichael.Nyberg@energy.ca.gov916-654-5968WPRS:John HingtgenJohn.Hingtgen@energy.ca.gov916-657-4046

  10. High Voltage GIS Market Report | Global Forecast From 2025 To 2033

    • dataintelo.com
    csv, pdf, pptx
    Updated Jan 7, 2025
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    Dataintelo (2025). High Voltage GIS Market Report | Global Forecast From 2025 To 2033 [Dataset]. https://dataintelo.com/report/global-high-voltage-gis-market
    Explore at:
    csv, pptx, pdfAvailable download formats
    Dataset updated
    Jan 7, 2025
    Dataset authored and provided by
    Dataintelo
    License

    https://dataintelo.com/privacy-and-policyhttps://dataintelo.com/privacy-and-policy

    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    High Voltage GIS Market Outlook



    The global high voltage gas-insulated switchgear (GIS) market size is projected to witness significant growth from 2023 to 2032, with a strong compound annual growth rate (CAGR) of 8.5%. In 2023, the market size was valued at approximately USD 5.3 billion, and it is anticipated to reach around USD 10.8 billion by 2032. The growth in this market is primarily driven by the increasing demand for reliable and efficient power transmission and distribution systems, coupled with the burgeoning investments in renewable energy projects worldwide.



    One of the key growth factors contributing to the high voltage GIS market is the rising need for compact and efficient power distribution systems, particularly in urban areas where space constraints are a significant challenge. High voltage GIS systems are favored for their compactness and reliability compared to traditional air-insulated switchgear (AIS) systems. This advantage is particularly relevant in densely populated regions where the space available for electrical infrastructure is limited. Furthermore, the integration of renewable energy sources such as wind and solar power into the power grid necessitates advanced and reliable switchgear solutions, further propelling the demand for high voltage GIS.



    Another major driver for the market is the increasing investment in upgrading and expanding the power grid infrastructure globally. Governments and utility companies are investing heavily in modernizing their existing grid infrastructure to enhance efficiency, reduce transmission losses, and ensure stable power supply. High voltage GIS systems play a crucial role in these modernization efforts due to their high reliability, low maintenance requirements, and ability to operate under harsh environmental conditions. Additionally, the growing focus on smart grid technologies and digitalization in the power sector is expected to create substantial opportunities for the high voltage GIS market.



    Environmental regulations and sustainability concerns are also driving the adoption of high voltage GIS. These systems have a lower environmental impact compared to AIS systems, primarily due to their reduced spatial footprint and enclosed design, which minimizes the risk of gas leaks and contamination. The implementation of stringent environmental regulations aimed at reducing greenhouse gas emissions and promoting energy efficiency is encouraging utilities and industrial players to adopt more environmentally friendly solutions like high voltage GIS. This trend is expected to further accelerate market growth during the forecast period.



    From a regional perspective, the Asia Pacific region is expected to be the fastest-growing market for high voltage GIS during the forecast period. This growth can be attributed to the rapid industrialization, urbanization, and significant investments in renewable energy projects in countries like China, India, and Japan. Additionally, the ongoing efforts to upgrade aging power infrastructure and the increasing demand for reliable electricity supply are propelling the market growth in this region. Other regions, such as North America and Europe, are also expected to witness steady growth due to the modernization of grid infrastructure and the adoption of smart grid technologies.



    High-Voltage Air-Insulated Switchgear, while often larger in physical size compared to their gas-insulated counterparts, offer distinct advantages in terms of cost and ease of maintenance. These systems are typically used in areas where space constraints are less of a concern, and where the environmental conditions allow for the installation of open-air systems. The design of air-insulated switchgear is relatively straightforward, which can lead to lower initial costs and simpler maintenance procedures. Despite the larger footprint, air-insulated switchgear remains a viable option for many utilities and industries, particularly in regions where the infrastructure supports such installations. The choice between air-insulated and gas-insulated systems often depends on specific project requirements, environmental considerations, and budgetary constraints.



    Component Analysis



    The high voltage GIS market is segmented by components, including circuit breakers, switches, busbars, surge arresters, and others. Each of these components plays a vital role in the efficient functioning of GIS systems, contributing to the overall reliability and performance of power distributio

  11. GIS In Utility Industry Market Analysis North America, Europe, APAC, Middle...

    • technavio.com
    Updated Dec 31, 2024
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    Technavio (2024). GIS In Utility Industry Market Analysis North America, Europe, APAC, Middle East and Africa, South America - US, China, Canada, Japan, Germany, Russia, India, Brazil, France, UAE - Size and Forecast 2025-2029 [Dataset]. https://www.technavio.com/report/gis-market-in-the-utility-industry-analysis
    Explore at:
    Dataset updated
    Dec 31, 2024
    Dataset provided by
    TechNavio
    Authors
    Technavio
    License

    https://www.technavio.com/content/privacy-noticehttps://www.technavio.com/content/privacy-notice

    Time period covered
    2021 - 2025
    Area covered
    Global
    Description

    Snapshot img

    GIS In Utility Industry Market Size 2025-2029

    The gis in utility industry market size is forecast to increase by USD 3.55 billion, at a CAGR of 19.8% between 2024 and 2029.

    The utility industry's growing adoption of Geographic Information Systems (GIS) is driven by the increasing need for efficient and effective infrastructure management. GIS solutions enable utility companies to visualize, analyze, and manage their assets and networks more effectively, leading to improved operational efficiency and customer service. A notable trend in this market is the expanding application of GIS for water management, as utilities seek to optimize water distribution and reduce non-revenue water losses. However, the utility GIS market faces challenges from open-source GIS software, which can offer cost-effective alternatives to proprietary solutions. These open-source options may limit the functionality and support available to users, necessitating careful consideration when choosing a GIS solution. To capitalize on market opportunities and navigate these challenges, utility companies must assess their specific needs and evaluate the trade-offs between cost, functionality, and support when selecting a GIS provider. Effective strategic planning and operational execution will be crucial for success in this dynamic market.

    What will be the Size of the GIS In Utility Industry Market during the forecast period?

    Explore in-depth regional segment analysis with market size data - historical 2019-2023 and forecasts 2025-2029 - in the full report.
    Request Free SampleThe Global Utilities Industry Market for Geographic Information Systems (GIS) continues to evolve, driven by the increasing demand for advanced data management and analysis solutions. GIS services play a crucial role in utility infrastructure management, enabling asset management, data integration, project management, demand forecasting, data modeling, data analytics, grid modernization, data security, field data capture, outage management, and spatial analysis. These applications are not static but rather continuously unfolding, with new patterns emerging in areas such as energy efficiency, smart grid technologies, renewable energy integration, network optimization, and transmission lines. Spatial statistics, data privacy, geospatial databases, and remote sensing are integral components of this evolving landscape, ensuring the effective management of utility infrastructure. Moreover, the adoption of mobile GIS, infrastructure planning, customer service, asset lifecycle management, metering systems, regulatory compliance, GIS data management, route planning, environmental impact assessment, mapping software, GIS consulting, GIS training, smart metering, workforce management, location intelligence, aerial imagery, construction management, data visualization, operations and maintenance, GIS implementation, and IoT sensors is transforming the industry. The integration of these technologies and services facilitates efficient utility infrastructure management, enhancing network performance, improving customer service, and ensuring regulatory compliance. The ongoing evolution of the utilities industry market for GIS reflects the dynamic nature of the sector, with continuous innovation and adaptation to meet the changing needs of utility providers and consumers.

    How is this GIS In Utility Industry Industry segmented?

    The gis in utility industry industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD million' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments. ProductSoftwareDataServicesDeploymentOn-premisesCloudGeographyNorth AmericaUSCanadaEuropeFranceGermanyRussiaMiddle East and AfricaUAEAPACChinaIndiaJapanSouth AmericaBrazilRest of World (ROW).

    By Product Insights

    The software segment is estimated to witness significant growth during the forecast period.In the utility industry, Geographic Information Systems (GIS) play a pivotal role in optimizing operations and managing infrastructure. Utilities, including electricity, gas, water, and telecommunications providers, utilize GIS software for asset management, infrastructure planning, network performance monitoring, and informed decision-making. The GIS software segment in the utility industry encompasses various solutions, starting with fundamental GIS software that manages and analyzes geographical data. Additionally, utility companies leverage specialized software for field data collection, energy efficiency, smart grid technologies, distribution grid design, renewable energy integration, network optimization, transmission lines, spatial statistics, data privacy, geospatial databases, GIS services, project management, demand forecasting, data modeling, data analytics, grid modernization, data security, field data capture, outage ma

  12. California Electricity Demand Forecast Zones

    • catalog.data.gov
    • data.ca.gov
    • +3more
    Updated Nov 27, 2024
    + more versions
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    California Energy Commission (2024). California Electricity Demand Forecast Zones [Dataset]. https://catalog.data.gov/dataset/california-electricity-demand-forecast-zones-1e344
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    Dataset updated
    Nov 27, 2024
    Dataset provided by
    California Energy Commissionhttp://www.energy.ca.gov/
    Area covered
    California
    Description

    This dataset contains information on electricity demand forecast zones for California defined by the Demand Analysis Office in 2015.

  13. a

    Alaska Energy Authority Library

    • gis.data.alaska.gov
    • statewide-geoportal-1-soa-dnr.hub.arcgis.com
    • +3more
    Updated Jun 4, 2019
    + more versions
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    Dept. of Commerce, Community, & Economic Development (2019). Alaska Energy Authority Library [Dataset]. https://gis.data.alaska.gov/maps/b122b04ec1e64ed08ada789f840c4379
    Explore at:
    Dataset updated
    Jun 4, 2019
    Dataset authored and provided by
    Dept. of Commerce, Community, & Economic Development
    Area covered
    Alaska,
    Description

    Energy and utilities data from the Alaska Energy Authority, Alaska Energy Data Gateway. Includes: - Hydroelectric - Hydrokinetic - Wind Power - Thermal Areas - Hot Springs - Sawmills - Energy Regions - Electric Utility Lines - TAPS Pipeline - Volanoes and Vents - Solar PowerSource: Alaska Energy AuthorityThis data is provided as a service in the DCRA Information Portal by the Alaska Department of Commerce, Community, and Economic Development Division of Community and Regional Affairs (SOA DCCED DCRA), Research and Analysis section. SOA DCCED DCRA Research and Analysis is not the authoritative source for this data. For more information and for questions about this data, see: Alaska Energy Data Gateway

  14. Electric Load Serving Entities (Other)

    • gis.data.ca.gov
    • data.ca.gov
    • +5more
    Updated Apr 22, 2024
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    California Energy Commission (2024). Electric Load Serving Entities (Other) [Dataset]. https://gis.data.ca.gov/datasets/07224640a2fe42f89399be796e7b8810
    Explore at:
    Dataset updated
    Apr 22, 2024
    Dataset authored and provided by
    California Energy Commissionhttp://www.energy.ca.gov/
    License

    https://www.energy.ca.gov/conditions-of-usehttps://www.energy.ca.gov/conditions-of-use

    Area covered
    Description

    Data compiled from California Energy Commission staff from georeferenced electric territory maps and the United States Department of Homeland Security, Homeland Infrastructure Foundation-Level Data (HIFILD), https://hifld-geoplatform.opendata.arcgis.com/datasets/geoplatform::electric-retail-service-territories-2/aboutCommunity Choice Aggregation information provided by Cal-CCA.Boundaries are approximate, for absolute territory information, contact the appropriate load serving entity. Not all electric load serving entities are represented, if you have information on missing territory locations, please contact GIS@energy.ca.gov.For more information on California Load Serving Entities visit this website: https://www.energy.ca.gov/data-reports/energy-almanac/california-electricity-data/electric-load-serving-entities-lses

  15. o

    Electric Retail Service Territories

    • openenergyhub.ornl.gov
    csv, excel, geojson +1
    Updated Dec 9, 2022
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    (2022). Electric Retail Service Territories [Dataset]. https://openenergyhub.ornl.gov/explore/dataset/electric-retail-service-territories/
    Explore at:
    geojson, excel, csv, jsonAvailable download formats
    Dataset updated
    Dec 9, 2022
    Description

    Note: Sample data provided. · This feature class/shapefile represents electric power retail service territories. These are areas serviced by electric power utilities responsible for the retail sale of electric power to local customers, whether residential, industrial, or commercial. The following updates have been made since the previous release: 4 features added.

  16. Data Used for EDeMOS (Electricity Demand Mapping from Open-Source Data):...

    • zenodo.org
    bin
    Updated Feb 14, 2025
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    Roberto Heredia-Fonseca; Roberto Heredia-Fonseca; Ariane Millot; Ariane Millot; Anđelka Kerekeš; Anđelka Kerekeš; Alexandros Korkovelos; Alexandros Korkovelos; Martin Stringer; Martin Stringer; Adam Hawkes; Adam Hawkes (2025). Data Used for EDeMOS (Electricity Demand Mapping from Open-Source Data): Kenya Case Study [Dataset]. http://doi.org/10.5281/zenodo.14848898
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    binAvailable download formats
    Dataset updated
    Feb 14, 2025
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Roberto Heredia-Fonseca; Roberto Heredia-Fonseca; Ariane Millot; Ariane Millot; Anđelka Kerekeš; Anđelka Kerekeš; Alexandros Korkovelos; Alexandros Korkovelos; Martin Stringer; Martin Stringer; Adam Hawkes; Adam Hawkes
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Feb 11, 2025
    Area covered
    Kenya
    Description

    The information in this repository pertains to the Kenya case study for EDeMOS. EDeMOS is an innovative, open-source methodology designed for analyzing electricity consumption at a spatially detailed level in any geography.

    References.

    • A high-resolution gridded dataset to assess electrification in sub-Saharan Africa

    Falchetta, G., Pachauri, S., Parkinson, S. et al. A high-resolution gridded dataset to assess electrification in sub-Saharan Africa. Sci Data 6, 110 (2019). https://doi.org/10.1038/s41597-019-0122-6.

    • Gridded global Gross Domestic Product and Human Development Index datasets over 1990–2015

    Kummu, M., Taka, M. & Guillaume, J. Gridded global datasets for Gross Domestic Product and Human Development Index over 1990–2015. Sci Data 5, 180004 (2018). https://doi.org/10.1038/sdata.2018.4

    • High-Resolution Electricity Access. set_lightscore_sy_xxxx.tif: Predicted likelihood that a settlement is electrified (0 to 1)

    Brian Min, Zachary P. O'Keeffe, Babatunde Abidoye, Kwawu Mensan Gaba, Trevor Monroe, Benjamin P. Stewart, Kim Baugh, Bruno Sánchez-Andrade Nuño, “Lost in the Dark: A Survey of Energy Poverty from Space,” Joule (2024), https://doi.org/10.1016/j.joule.2024.05.001.

    • Relative Wealth Index (RWI)

    Samapriya Roy, Swetnam, T., & Saah, A. (2025). samapriya/awesome-gee-community-datasets: Community Catalog (3.2.0). Zenodo. https://doi.org/10.5281/zenodo.14757583.

    • Demographic and Health Surveys (DHS). DHS

    ICF. Kenya: Standard DHS, 2022 Dataset. The DHS Program website. Funded by USAID. http://www.dhsprogram.com. [Accessed 01, 31, 2025].

    other

    • Kenya Population and Housing Census 2019. KNBS, 2019.
  17. Control Areas

    • hifld-geoplatform.hub.arcgis.com
    • hub.arcgis.com
    • +1more
    Updated Dec 9, 2022
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    GeoPlatform ArcGIS Online (2022). Control Areas [Dataset]. https://hifld-geoplatform.hub.arcgis.com/datasets/geoplatform::control-areas/about
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    Dataset updated
    Dec 9, 2022
    Dataset provided by
    https://arcgis.com/
    Authors
    GeoPlatform ArcGIS Online
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Area covered
    Description

    This feature class/shapefile represents electric power control areas. Control Areas, also known as Balancing Authority Areas, are controlled by Balancing Authorities, who are responsible for monitoring and balancing the generation, load, and transmission of electric power within their region, often comprised of the retail service territories of numerous electric power utilities. Each control area is interconnected with neighboring ones to facilitate emergency support, coordinated operations, and power purchases and sales. The following updates have been made since the previous release: 1 feature removed.

  18. K

    Houston, Texas Electricity Usage

    • koordinates.com
    csv, dwg, geodatabase +6
    Updated May 2, 2017
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    City of Houston, Texas (2017). Houston, Texas Electricity Usage [Dataset]. https://koordinates.com/layer/38957-houston-texas-electricity-usage/
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    pdf, dwg, shapefile, mapinfo mif, kml, mapinfo tab, csv, geopackage / sqlite, geodatabaseAvailable download formats
    Dataset updated
    May 2, 2017
    Dataset authored and provided by
    City of Houston, Texas
    Area covered
    Description

    Geospatial data about Houston, Texas Electricity Usage. Export to CAD, GIS, PDF, CSV and access via API.

  19. n

    California Electric Power Plants - Dataset - CKAN

    • nationaldataplatform.org
    Updated Feb 28, 2024
    + more versions
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    (2024). California Electric Power Plants - Dataset - CKAN [Dataset]. https://nationaldataplatform.org/catalog/dataset/california-electric-power-plants
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    Dataset updated
    Feb 28, 2024
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Area covered
    California
    Description

    This data is usually updated quarterly by February 1st, May 1st, August 1st, and November 1st.The CEC Power Plant geospatial data layer contains point features representing power generating facilities in California, and power plants with imported electricity from Nevada, Arizona, Utah and Mexico.The transmission line, substation and power plant mapping database were started in 1990 by the CEC GIS staffs. The final project was completed in October 2010. The enterprise GIS system on CEC's critical infrastructure database was leaded by GIS Unit in November 2014 and was implemented in May 2016. The data was derived from CEC's Quarterly Fuel and Energy Report (QFER), Energy Facility Licensing (Siting), Wind Performance Reporting System (WPRS), and Renewable Energy Action Team (REAT). The sources for the power plant point digitizing are including sub-meter resolution of Digital Globe, Bing, Google, ESRI and NAIP aerial imageries, with scale at least 1:10,000. Occasionally, USGS Topographic map, Google Street View and Bing Bird's Eye are used to verify the precise location of a facility.Although a power plant may have multiple generators, or units, the power plant layer represents all units at a plant as one feature. Detailed attribute information associated with the power plant layer includes CEC Plant ID, Plant Label, Plant Capacity (MW), General Fuel, Plant Status, CEC Project Status, CEC Docket ID, REAT ID, Plant County, Plant State, Renewable Energy, Wind Resource Area, Local Reliability Area, Sub Area, Electric Service Area, Service Area Category, California Balancing Authorities, California Air District, California Air Basin, Quad Name, Senate District, Assembly District, Congressional District, Power Project Web Link, CEC Link, Aerial, QRERGEN Comment, WPRS Comment, Geoscience Comment, Carto Comment, QFERGEN Excel Link, WPRS Excel Link, Schedule 3 Excel Link, and CEC Data Source. For power plant layer which is joined with QFer database, additional fields are displayed: CEC Plant Name (full name), Plant Alias, EIA Plant ID, Plant City, Initial Start Date, Online Year, Retire Date, Generator or Turbine Count, RPS Eligible, RPS Number, Operator Company Name, and Prime Mover ID. In general, utility and non-utility operated power plant spatial data with at least 1 MW of demonstrated capacity and operating status are distributed. Special request is required on power plant spatial data with all capacities and all stages of status, including Cold Standby, Indefinite Shutdown, Maintenance, Non-Operational, Proposed, Retired, Standby, Terminated, and Unknown.For question on power generation or others, please contact Michael Nyberg at (916) 654-5968.California Energy Commission's Open Data Portal.

  20. USGS USWTDB - U.S. Wind Turbine Database

    • zenodo.org
    json, zip
    Updated Jan 31, 2025
    + more versions
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    Catalyst Cooperative; Catalyst Cooperative (2025). USGS USWTDB - U.S. Wind Turbine Database [Dataset]. http://doi.org/10.5281/zenodo.14783215
    Explore at:
    zip, jsonAvailable download formats
    Dataset updated
    Jan 31, 2025
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Catalyst Cooperative; Catalyst Cooperative
    Description

    The United States Wind Turbine Database (USWTDB) provides the locations of land-based and offshore wind turbines in the United States, corresponding wind project information, and turbine technical specifications. Wind turbine records are collected and compiled from various public and private sources, digitized and position-verified from aerial imagery, and quality checked. The USWTDB is available for download in a variety of tabular and geospatial file formats, to meet a range of user/software needs. Dynamic web services are available for users that wish to access the USWTDB as a Representational State Transfer Services (RESTful) web service. Archived from https://energy.usgs.gov/uswtdb/

    This archive contains raw input data for the Public Utility Data Liberation (PUDL) software developed by Catalyst Cooperative. It is organized into "https://specs.frictionlessdata.io/data-package/">Frictionless Data Packages. For additional information about this data and PUDL, see the following resources:

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Esri U.S. Federal Datasets (2022). U.S. Electric Power Transmission Lines [Dataset]. https://nrsig-uw.hub.arcgis.com/datasets/fedmaps::u-s-electric-power-transmission-lines
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U.S. Electric Power Transmission Lines

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2 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Aug 16, 2022
Dataset provided by
Esrihttp://esri.com/
Authors
Esri U.S. Federal Datasets
Area covered
Description

U.S. Electric Power Transmission LinesThis feature layer, utilizing data from Homeland Infrastructure Foundation-Level Data (HIFLD), depicts electric power transmission lines in the United States. Per HIFLD, "Transmission Lines are the system of structures, wires, insulators and associated hardware that carry electric energy from one point to another in an electric power system. Lines are operated at relatively high voltages varying from 69 kV up to 765 kV, and are capable of transmitting large quantities of electricity over long distances. Underground transmission lines are included where sources were available."138 Kilovolt Transmission LineData downloaded: 5/16/2025Data source: Transmission LinesData modification: noneFor more information: Electricity ExplainedSupport documentation: Transmission LinesFor feedback, please contact: ArcGIScomNationalMaps@esri.comThe Homeland Infrastructure Foundation-Level DataPer HIFLD, "The Homeland Infrastructure Foundation-Level Data (HIFLD) Subcommittee was established…to address improvements in collection, processing, sharing, and protection of homeland infrastructure geospatial information across multiple levels of government, and to develop a common foundation of homeland infrastructure data to be used for visualization and analysis on all classification domains."

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