Time-coincident load, wind, and solar data including actual and probabilistic forecast datasets at 5-min resolution for ERCOT, MISO, NYISO, and SPP. Wind and solar profiles are supplied for existing sites as well as planned sites based on interconnection queue projects as of 2021. For ERCOT actuals are provided for 2017 and 2018 and forecasts for 2018, and for the remaining ISOs actuals are provided for 2018 and 2019 and forecasts for 2019. There datasets were produced by NREL as part of the ARPA-E PERFORM project, an ARPA-E funded program that aim to use time-coincident power and load seeks to develop innovative management systems that represent the relative delivery risk of each asset and balance the collective risk of all assets across the grid. For more information on the datasets and methods used to generate them see https://github.com/PERFORM-Forecasts/documentation.

Power Stations in Africa 2012 Created in 2012 from unknown source.

This majority of this data is based on a digitized PDF map, and so is intended as a schematic of rough locations of the power network. It is not suitable for applications requiring high accuracy. Additional updated data for 2017 from ECREEE transmission network for West Africa, online at ECOWREX

Plan data collected and prepared for a project of the World Bank Group in July 2016. Includes existing transmission network only. This data is based on a digitized PDF map, and so is intended as a schematic of rough locations of the power network. It is not suitable for applications requiring high accuracy.

This layer contains transmission network of Colorado as released by Xcel Energy.

This project estimates hourly demand response availability across the continental U.S. for the year 2006. The resulting data set is disaggregated by balancing authority area, end use, and grid application. End uses include 14 categories across residential, commercial, industrial and municipal sectors. Grid applications include the 5 bulk power system services of regulation reserve, flexibility (or ramping) reserve, contingency reserve, energy, and capacity. Based on the physical requirements of the various bulk power system services and the estimated end use electric load shapes, potential availability of demand response is calculated and provided as a series of csv files.

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. 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. 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. 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.

Combination of the following data sources: 1) The Africa Infrastructure Country Diagnostic (AICD) study 2) OSM data © OpenStreetMap contributors

The Electricity Maps API provides actionable data quantifying how carbon-intensive electricity is on an hourly basis across 50+ countries. The data can be accessed historically, in real-time, or as a forecast for the next 24 hours. This is a commercial API, requiring a monthly subscription for access.

The United States is embarking on an ambitious transition to a 100% clean energy economy by 2050, which will require improving the flexibility of electric grids. One way to achieve grid flexibility is to shed or shift demand to align with changing grid needs. To facilitate this, it is critical to understand how and when energy is used. High quality end-use load profiles (EULPs) provide this information, and can help cities, states, and utilities understand the time-sensitive value of energy efficiency, demand response, and distributed energy resources. Publicly available EULPs have traditionally had limited application because of age and incomplete geographic representation. To help fill this gap, the U.S. Department of Energy (DOE) funded a three-year project, End-Use Load Profiles for the U.S. Building Stock, that culminated in this publicly available dataset of calibrated and validated 15-minute resolution load profiles for all major residential and commercial building types and end uses, across all climate regions in the United States. These EULPs were created by calibrating the ResStock and ComStock physics-based building stock models using many different measured datasets, as described in the "Technical Report Documenting Methodology" linked in the submission.

Data collected and prepared for a project of the World Bank Group in May 2004. Includes transmission lines, substations, as well as power stations. Includes existing as well as planned projects. This data is based on a digitized PDF map, and so is intended as a schematic of rough locations of the power network. It is not suitable for applications requiring high accuracy.

Combination of the following data sources: 1) data collected and prepared for a project of the World Bank Group in January 2014 2) The Africa Infrastructure Country Diagnostic (AICD) study 3) OSM data © OpenStreetMap contributors This data is partially based on a digitized PDF map, and so is intended as a schematic of rough locations of the power network. It is not suitable for applications requiring high accuracy.

A Guinea subset of this dataset: [ECOWAS region - Existing and Planned Transmission Grid (2017)](https://energydata.info/dataset/transmission-grid-ecowas-region) Existing and planned transmission grid network (medium and high voltage lines) in the ECOWAS Region. Also covers other regions of West Africa. The source of the dataset is the West African Power Pool (WAPP) GIS database January 2017. WAPP collects and validates spatial information on transmission lines in a yearly basis. Includes substations from a 2014 World Bank project, digitized from a PDF map.

Probability grid of Hawaii Play Fairway Analysis results. This analysis was aimed at assessing the geothermal resource potential throughout Hawaii.

Data collected and prepared for a project of the World Bank Group in February 2017. Includes transmission lines, substations, as well as power stations. Includes existing as well as planned projects. Some existing lines extracted from OSM data © OpenStreetMap contributors. The majority of the data is based on a digitized PDF map, and so is intended as a schematic of rough locations of the power network. It is not suitable for applications requiring high accuracy.

Some lines are extracted from OSM data © OpenStreetMap contributors This data is partially based on a digitized PDF map, and so is intended as a schematic of rough locations of the power network. It is not suitable for applications requiring high accuracy.

Data collected and prepared for a project of the World Bank Group in January 2005. Includes transmission lines, substations, as well as power stations. Includes existing as well as planned projects. This data is based on a digitized PDF map, and so is intended as a schematic of rough locations of the power network. It is not suitable for applications requiring high accuracy.

A Mali subset of this dataset: [ECOWAS region - Existing and Planned Transmission Grid (2017)](https://energydata.info/dataset/transmission-grid-ecowas-region) Existing and planned transmission grid network (medium and high voltage lines) in the ECOWAS Region. Also covers other regions of West Africa. The source of the dataset is the West African Power Pool (WAPP) GIS database January 2017. WAPP collects and validates spatial information on transmission lines in a yearly basis.

Combination of the following data sources: 1) ECREEE transmission network for West Africa, online at ECOWREX 2) Plan data collected and prepared for a project of the World Bank Group in April 2014, digitized from a PDF map. Includes transmission lines and power stations. Includes existing as well as planned projects.

Combination of the following data sources: 1) data collected and prepared for a project of the World Bank Group in May 2015 2) The Africa Infrastructure Country Diagnostic (AICD) study 3) OSM data © OpenStreetMap contributors This data is partially based on a digitized PDF map, and so is intended as a schematic of rough locations of the power network. It is not suitable for applications requiring high accuracy.

Data collected and digitized as input to the geospatial least-cost planning for universal electricity access by 2030 as part of the the project fundedby World Bank for Myanmar National Electrification Plan (NEP).The dataset covers the distribution service area of the Electricity Supply Enterpise (ESE), the national utility of Myanmar. The data collection was undertaken by the Sustainable Engineering Lab/Earth Institute, in close collaboration with Resource and Environment Myanmar (REM).

Data collected and prepared for a project of the World Bank Group in October 2013. Includes transmission lines, substations, as well as power stations. Includes existing as well as planned projects. This data is based on a digitized PDF map, and so is intended as a schematic of rough locations of the power network. It is not suitable for applications requiring high accuracy.

In 2008, the US Department of Energy (DOE) Wind and Water Power Program issued a funding opportunity announcement to establish university-led National Marine Renewable Energy Centers. Oregon State University and the University of Washington combined their capabilities in wave and tidal energy to establish the Northwest National Marine Renewable Energy Center, or NNMREC. NNMREC's scope included research and testing in the following topic areas: - Advanced Wave Forecasting Technologies; - Device and Array Optimization; - Integrated and Standardized Test Facility Development; - Investigate the Compatibility of Marine Energy Technologies with Environment, Fisheries and other Marine Resources; - Increased Reliability and Survivability of Marine Energy Systems; - Collaboration/Optimization with Marine Renewable and Other Renewable Energy Resources. To support the last topic, the National Renewable Energy Laboratory (NREL) was brought onto the team, particularly to assist with testing protocols, grid integration, and testing instrumentation. NNMREC's mission is to facilitate the development of marine energy technology, to inform regulatory and policy decisions, and to close key gaps in scientific understanding with a focus on workforce development. In this, NNMREC achieves DOE's goals and objectives and remains aligned with the research and educational mission of universities. In 2012, DOE provided NNMREC an opportunity to propose an additional effort to begin work on a utility scale, grid connected wave energy test facility. That project, initially referred to as the Pacific Marine Energy Center, is now referred to as the Pacific Marine Energy Center South Energy Test Site (PMEC-SETS) and involves work directly toward establishing the facility, which will be in Newport Oregon, as well as supporting instrumentation for wave energy converter testing. This report contains a breakdown per subtask of the funded project. Under each subtask, the following are presented and discussed where appropriate: the initial objective or hypothesis; an overview of accomplishments and approaches used; any problems encountered or departures from planned methodology over the life of the project; impacts of the problems or rescoping of the project; how accomplishments compared with original project goals; and deliverables under the subtasks. Products and models developed under the award are also included.

PR100 is a comprehensive analysis of stakeholder-driven pathways for Puerto Rico to achieve its goal of 100% renewable energy by 2050. The data includes boundaries, habitats, hazards, infrastructure, and topography throughout Puerto Rico. Most of the data is in geospatial and json formats. Links to project background, history, and planning are also included along with the data.

The data portal contains various datasets on Generation, Consumption, Market, Exchanges, and Partners. To access the information and Public Data Services available on the PORTALS, the User can directly create a Public User Account by completing a registration form on the PORTALS.

The SMART-DS datasets (Synthetic Models for Advanced, Realistic Testing: Distribution systems and Scenarios) are realistic large-scale U.S. electrical distribution models for testing advanced grid algorithms and technology analysis. This document provides a user guide for the datasets. This dataset contains synthetic detailed electrical distribution network models, and connected timeseries loads for the greater San Francisco (SFO), Greensboro, and Austin areas. It is intended to provide researchers with very realistic and complete models that can be used for extensive powerflow simulations under a variety of scenarios. The data is synthetic, but has been validated against thousands of utility feeders to ensure statistical and operational similarity to electrical distribution networks in the US. The OpenDSS data is partitioned into several regions (each zipped separately). After unzipping these files, each region has a folder for each substation, and subsequent folders for each feeder within the substation. This allows users to simulate smaller sections of the full dataset. Each of these folders (region, substation and feeder) has a folder titled "analysis" which contains CSV files listing voltages and overloads throughout the network for the peak loading time in the year. It also contains .png files showing the loading of residential and commercial loads on the network for every day of the year, and daily breakdowns of loads for commercial building categories. Time series data is provided in the "profiles" folder including real and reactive power at 15 minute resolution along with parquet files in the "endues" folder with breakdowns of building end-uses.

This dataset is now superseded by the updated Africa Electricity Transmission and Distribution Grid Map (2017). Please use that if looking for the most up to date data. The Africa Infrastructure Country Diagnostic (AICD) was an unprecedented knowledge program on Africa’s infrastructure that grew out of the pledge by the G8 Summit of 2005 at Gleneagles to substantially increase ODA assistance to Africa, particularly to the infrastructure sector, and the subsequent formation of the Infrastructure Consortium for Africa (ICA). The AICD study was founded on the recognition that sub-Saharan Africa (SSA) suffers from a very weak infrastructural base, and that this is a key factor in the SSA region failing to realize its full potential for economic growth, international trade, and poverty reduction. The study broke new ground, with primary data collection efforts covering network service infrastructures (ICT, power, water & sanitation, road transport, rail transport, sea transport, and air transport) from 2001 to 2006 in 24 selected African countries AICD has been implemented by the World Bank on behalf of a steering committee representing the African Union, the New Partnership for Africa’s Development (NEPAD), Africa’s regional economic communities, the African Development Bank, and major infrastructure donors.

Existing lines extracted from OSM data © OpenStreetMap contributors. Data collected and prepared for a project of the World Bank Group in November 2013. Includes transmission lines, substations, as well as power stations. The grid lines are sourced from OSM, and have not been thoroughly verified for accuracy. This other data is based on a digitized PDF map, and so is intended as a schematic of rough locations of the power network. It is not suitable for applications requiring high accuracy.

Combination of the following data sources: 1) data collected and prepared for a project of the World Bank Group in April 2014 2) The Africa Infrastructure Country Diagnostic (AICD) study 3) OSM data © OpenStreetMap contributors This data is partially based on a digitized PDF map, and so is intended as a schematic of rough locations of the power network. It is not suitable for applications requiring high accuracy.

The CO2signal API gives you access to where the electricity in a specific region comes from, how it was produced and how much carbon was emitted to produce it. The API is free for non-commercial use.

Berkeley Lab's Tracking the Sun report series is dedicated to summarizing installed prices and other trends among grid-connected, distributed solar photovoltaic (PV) systems in the United States. The present report, the 11th edition in the series, focuses on systems installed through year-end 2017, with preliminary trends for the first half of 2018. As in years past, the primary emphasis is on describing changes in installed prices over time and variation in pricing across projects based on location, project ownership, system design, and other attributes. New to this year, however, is an expanded discussion of other project characteristics in the large underlying data sample. Future editions will include more of such material, beyond the reports traditional focus on installed pricing. The trends described in this report derive primarily from project-level data reported to state agencies and utilities that administer PV incentive programs, solar renewable energy credit (SREC) registration systems, or interconnection processes. In total, data were collected and cleaned for more than 1.3 million individual PV systems, representing 81% of U.S. residential and non-residential PV systems installed through 2017. The analysis of installed pricing trends is based on a subset of roughly 770,000 systems with available installed price data.

U.S. National GridThis feature layer, utilizing data from the Federal Geographic Data Committee (FGDC), displays the U.S. National Grid (USNG). The FGDC provides standards for a National Grid. Per the FGDC, "The objective of this standard is to create a more favorable environment for developing location-based services within the United States and to increase the interoperability of location services appliances with printed map products by establishing a nationally consistent grid reference system as the preferred grid for National Spatial Data Infrastructure (NSDI) applications.  This standard defines the US National Grid.  The U.S. National Grid is based on universally defined coordinate and grid systems and can, therefore, be easily extended for use world-wide as a universal grid reference system."Note: popups can be viewed for the USNG 1000m and USNG 100m layers.Note: the USNG 100m layer is only displayed for certain cities. To view those places, please select a row in the attribute table and then center (zoom) on selection.U.S. National Grid - Grid Zone DesignationsTop: 100,000-meter and 10,000-meter Square IdentificationsBottom: 1,000-meter and 100-meter Square IdentificationsData downloaded: October, 2011Data modifications: The Percent Complete field was removed from all layers. The following fields were added to the original data for layers:USNG 1000m - UTM ZoneUSNG 100m - Place; RegionFor more information:Standard for a U.S. National GridUnited States National GridHow to read a United States National Grid (USNG) spatial addressFor feedback, please contact: ArcGIScomNationalMaps@esri.comFederal Geographic Data Committee (FGDC)Per the FGDC, "The Federal Geographic Data Committee (FGDC) is an organized structure of Federal geospatial professionals and constituents that provide executive, managerial, and advisory direction and oversight for geospatial decisions and initiatives across the Federal government.  In accordance with Office of Management and Budget (OMB) Circular A-16, the FGDC is chaired by the Secretary of the Interior with the Deputy Director for Management, OMB as Vice-Chair."

U.S. National GridThis feature layer, utilizing data from the Federal Geographic Data Committee (FGDC), displays the U.S. National Grid (USNG). The FGDC provides standards for a National Grid. Per the FGDC, "The objective of this standard is to create a more favorable environment for developing location-based services within the United States and to increase the interoperability of location services appliances with printed map products by establishing a nationally consistent grid reference system as the preferred grid for National Spatial Data Infrastructure (NSDI) applications.  This standard defines the US National Grid.  The U.S. National Grid is based on universally defined coordinate and grid systems and can, therefore, be easily extended for use world-wide as a universal grid reference system."Note: popups can be viewed for the USNG 1000m and USNG 100m layers.Note: the USNG 100m layer is only displayed for certain cities. To view those places, please select a row in the attribute table and then center (zoom) on selection.U.S. National Grid - Grid Zone DesignationsTop: 100,000-meter and 10,000-meter Square IdentificationsBottom: 1,000-meter and 100-meter Square IdentificationsData downloaded: October, 2011Data modifications: The Percent Complete field was removed from all layers. The following fields were added to the original data for layers:USNG 1000m - UTM ZoneUSNG 100m - Place; RegionFor more information:Standard for a U.S. National GridUnited States National GridHow to read a United States National Grid (USNG) spatial addressFor feedback, please contact: ArcGIScomNationalMaps@esri.comFederal Geographic Data Committee (FGDC)Per the FGDC, "The Federal Geographic Data Committee (FGDC) is an organized structure of Federal geospatial professionals and constituents that provide executive, managerial, and advisory direction and oversight for geospatial decisions and initiatives across the Federal government.  In accordance with Office of Management and Budget (OMB) Circular A-16, the FGDC is chaired by the Secretary of the Interior with the Deputy Director for Management, OMB as Vice-Chair."

U.S. National GridThis feature layer, utilizing data from the Federal Geographic Data Committee (FGDC), displays the U.S. National Grid (USNG). The FGDC provides standards for a National Grid. Per the FGDC, "The objective of this standard is to create a more favorable environment for developing location-based services within the United States and to increase the interoperability of location services appliances with printed map products by establishing a nationally consistent grid reference system as the preferred grid for National Spatial Data Infrastructure (NSDI) applications.  This standard defines the US National Grid.  The U.S. National Grid is based on universally defined coordinate and grid systems and can, therefore, be easily extended for use world-wide as a universal grid reference system."Note: popups can be viewed for the USNG 1000m and USNG 100m layers.Note: the USNG 100m layer is only displayed for certain cities. To view those places, please select a row in the attribute table and then center (zoom) on selection.U.S. National Grid - Grid Zone DesignationsTop: 100,000-meter and 10,000-meter Square IdentificationsBottom: 1,000-meter and 100-meter Square IdentificationsData downloaded: October, 2011Data modifications: The Percent Complete field was removed from all layers. The following fields were added to the original data for layers:USNG 1000m - UTM ZoneUSNG 100m - Place; RegionFor more information:Standard for a U.S. National GridUnited States National GridHow to read a United States National Grid (USNG) spatial addressFor feedback, please contact: ArcGIScomNationalMaps@esri.comFederal Geographic Data Committee (FGDC)Per the FGDC, "The Federal Geographic Data Committee (FGDC) is an organized structure of Federal geospatial professionals and constituents that provide executive, managerial, and advisory direction and oversight for geospatial decisions and initiatives across the Federal government.  In accordance with Office of Management and Budget (OMB) Circular A-16, the FGDC is chaired by the Secretary of the Interior with the Deputy Director for Management, OMB as Vice-Chair."

U.S. National GridThis feature layer, utilizing data from the Federal Geographic Data Committee (FGDC), displays the U.S. National Grid (USNG). The FGDC provides standards for a National Grid. Per the FGDC, "The objective of this standard is to create a more favorable environment for developing location-based services within the United States and to increase the interoperability of location services appliances with printed map products by establishing a nationally consistent grid reference system as the preferred grid for National Spatial Data Infrastructure (NSDI) applications.  This standard defines the US National Grid.  The U.S. National Grid is based on universally defined coordinate and grid systems and can, therefore, be easily extended for use world-wide as a universal grid reference system."Note: popups can be viewed for the USNG 1000m and USNG 100m layers.Note: the USNG 100m layer is only displayed for certain cities. To view those places, please select a row in the attribute table and then center (zoom) on selection.U.S. National Grid - Grid Zone DesignationsTop: 100,000-meter and 10,000-meter Square IdentificationsBottom: 1,000-meter and 100-meter Square IdentificationsData downloaded: October, 2011Data modifications: The Percent Complete field was removed from all layers. The following fields were added to the original data for layers:USNG 1000m - UTM ZoneUSNG 100m - Place; RegionFor more information:Standard for a U.S. National GridUnited States National GridHow to read a United States National Grid (USNG) spatial addressFor feedback, please contact: ArcGIScomNationalMaps@esri.comFederal Geographic Data Committee (FGDC)Per the FGDC, "The Federal Geographic Data Committee (FGDC) is an organized structure of Federal geospatial professionals and constituents that provide executive, managerial, and advisory direction and oversight for geospatial decisions and initiatives across the Federal government.  In accordance with Office of Management and Budget (OMB) Circular A-16, the FGDC is chaired by the Secretary of the Interior with the Deputy Director for Management, OMB as Vice-Chair."

U.S. National GridThis feature layer, utilizing data from the Federal Geographic Data Committee (FGDC), displays the U.S. National Grid (USNG). The FGDC provides standards for a National Grid. Per the FGDC, "The objective of this standard is to create a more favorable environment for developing location-based services within the United States and to increase the interoperability of location services appliances with printed map products by establishing a nationally consistent grid reference system as the preferred grid for National Spatial Data Infrastructure (NSDI) applications.  This standard defines the US National Grid.  The U.S. National Grid is based on universally defined coordinate and grid systems and can, therefore, be easily extended for use world-wide as a universal grid reference system."Note: popups can be viewed for the USNG 1000m and USNG 100m layers.Note: the USNG 100m layer is only displayed for certain cities. To view those places, please select a row in the attribute table and then center (zoom) on selection.U.S. National Grid - Grid Zone DesignationsTop: 100,000-meter and 10,000-meter Square IdentificationsBottom: 1,000-meter and 100-meter Square IdentificationsData downloaded: October, 2011Data modifications: The Percent Complete field was removed from all layers. The following fields were added to the original data for layers:USNG 1000m - UTM ZoneUSNG 100m - Place; RegionFor more information:Standard for a U.S. National GridUnited States National GridHow to read a United States National Grid (USNG) spatial addressFor feedback, please contact: ArcGIScomNationalMaps@esri.comFederal Geographic Data Committee (FGDC)Per the FGDC, "The Federal Geographic Data Committee (FGDC) is an organized structure of Federal geospatial professionals and constituents that provide executive, managerial, and advisory direction and oversight for geospatial decisions and initiatives across the Federal government.  In accordance with Office of Management and Budget (OMB) Circular A-16, the FGDC is chaired by the Secretary of the Interior with the Deputy Director for Management, OMB as Vice-Chair."

U.S. National GridThis feature layer, utilizing data from the Federal Geographic Data Committee (FGDC), displays the U.S. National Grid (USNG). The FGDC provides standards for a National Grid. Per the FGDC, "The objective of this standard is to create a more favorable environment for developing location-based services within the United States and to increase the interoperability of location services appliances with printed map products by establishing a nationally consistent grid reference system as the preferred grid for National Spatial Data Infrastructure (NSDI) applications.  This standard defines the US National Grid.  The U.S. National Grid is based on universally defined coordinate and grid systems and can, therefore, be easily extended for use world-wide as a universal grid reference system."Note: popups can be viewed for the USNG 1000m and USNG 100m layers.Note: the USNG 100m layer is only displayed for certain cities. To view those places, please select a row in the attribute table and then center (zoom) on selection.U.S. National Grid - Grid Zone DesignationsTop: 100,000-meter and 10,000-meter Square IdentificationsBottom: 1,000-meter and 100-meter Square IdentificationsData downloaded: October, 2011Data modifications: The Percent Complete field was removed from all layers. The following fields were added to the original data for layers:USNG 1000m - UTM ZoneUSNG 100m - Place; RegionFor more information:Standard for a U.S. National GridUnited States National GridHow to read a United States National Grid (USNG) spatial addressFor feedback, please contact: ArcGIScomNationalMaps@esri.comFederal Geographic Data Committee (FGDC)Per the FGDC, "The Federal Geographic Data Committee (FGDC) is an organized structure of Federal geospatial professionals and constituents that provide executive, managerial, and advisory direction and oversight for geospatial decisions and initiatives across the Federal government.  In accordance with Office of Management and Budget (OMB) Circular A-16, the FGDC is chaired by the Secretary of the Interior with the Deputy Director for Management, OMB as Vice-Chair."

Data collected and prepared for a project of the World Bank Group in January 2005. Includes transmission lines, substations, as well as power stations. Includes existing as well as planned projects. This data is based on a digitized PDF map, and so is intended as a schematic of rough locations of the power network. It is not suitable for applications requiring high accuracy.

Combination of the following data sources: 1) data collected and prepared for a project of the World Bank Group in April 2014 2) The Africa Infrastructure Country Diagnostic (AICD) study 3) OSM data © OpenStreetMap contributors This data is partially based on a digitized PDF map, and so is intended as a schematic of rough locations of the power network. It is not suitable for applications requiring high accuracy.