This dataset contains measured timeseries of renewable energy production and electricity consumption as well as exchange with neighboring countries/continents on hourly time resolution. The timeseries data has been divided into two xml files, one for each of the Danish price regions; DK1 (Western Denmark) and DK2 (Eastern Denmark). The data comes from the Danish TSO Energinet and was used in a flexibility study by Karen Olsen in 2018-19 leading to a paper that is to appear in the proceedings of the ICAE19 conference and is entitled: "Data-driven flexibility requirements for current and future scenarios with high penetration of renewables". A journal paper has also been submitted using the same data.The data has been extracted from a website run by Energinet at the following link where time series data is publicly available:https://www.energidataservice.dk/dataset/electricitybalanceThe present version was extracted in September 2019 and contains installation and production data from 2011 until and including the beginning of September 2019.The data is in the originally downloaded xml files, ready to be parsed by the python code written by Karen Olsen (see reference for Fanfare code).Data used for analysis:- offshore wind power generated (column: "Offshore Wind Power" in the xml file)- onshore wind power generated (column: "Onshore Wind Power" in the xml file)- solar power generated (column: "Solar Power Prod" in the xml file)- gross consumption (column: "Gross Con" in the xml file)Further information and code for analysis can be found under:https://kpolsen.github.io/FANFARE/Contains data used pursuant to 'Conditions for use of Danish public-sector data' from the Energi Data Service portal (www.energidataservice.dk).

The Global Solar Energy Market Size Was Worth $90.4 Billion in 2022 and Is Expected To Reach $215.9 Billion by 2030, CAGR of 11.5%.

Snapshot img

Distributed Solar Power Generation Market Size 2025-2029

The distributed solar power generation market size is forecast to increase by USD 55.2 billion at a CAGR of 5.7% between 2024 and 2029.

The market is experiencing significant growth, driven by increasing investments in renewable energy and the expanding adoption of microgrids. This shift towards decentralized energy production is particularly notable in regions with robust solar resources and supportive regulatory frameworks. However, the market is not without complexities. The integration of distributed solar photovoltaic (PV) systems into the grid necessitates careful management of components such as energy storage, inverters, and power electronics. These complexities add to the cost of distributed solar projects and necessitate ongoing operational and maintenance efforts. Despite these challenges, companies seeking to capitalize on this market opportunity can benefit from strategic partnerships, technological innovation, and a deep understanding of local regulatory environments. By navigating these complexities effectively, players in the market can position themselves to capitalize on the long-term growth potential of this sector.

What will be the Size of the Distributed Solar Power Generation Market during the forecast period?

Request Free SampleThe market encompasses a range of technologies and applications, including solar asset management, building-integrated photovoltaics, solar water pumps, power towers, solar cookers, and photovoltaic thermal. Solar irradiance and resource assessment play crucial roles in optimizing system performance and energy yield. Advancements in solar technology continue to emerge, such as parabolic troughs, solar glazing, and solar agriculture. Blockchain technology is also being explored for peer-to-peer energy trading and energy resilience. Circular economy principles are increasingly being applied to the solar industry through the use of renewable energy certificates and life cycle analysis. Solar thermal power, solar awnings, and energy sharing are other areas of growth. Electric vehicle charging, solar reits, and peak shaving are among the applications driving innovation in the market. Energy trading, solar irrigation, and carbon footprint reduction are key considerations for businesses adopting solar power. Energy arbitrage, performance optimization, and solar charging stations are essential components of grid reliability and microgrid management. Flow batteries and ESG investing are also gaining traction in the sector. Solar desalination and solar facades offer solutions for water scarcity and energy efficiency, respectively. Green bonds and system sizing are important financing and planning tools for businesses investing in solar power. Thermal energy storage and grid reliability are critical for ensuring the stability and effectiveness of distributed solar power systems. Overall, the market is dynamic and evolving, with numerous opportunities for businesses to reduce their carbon footprint and enhance their energy resilience.

How is this Distributed Solar Power Generation Industry segmented?

The distributed solar power generation industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments. Installation SitesOn-gridOff-gridEnd-userCommercialIndustrialResidentialTypeMono-SIp-SiA-SiCVPLocationGround mountedRoof-topGeographyNorth AmericaUSCanadaEuropeFranceGermanyUKMiddle East and AfricaAPACAustraliaChinaIndiaJapanSouth KoreaSouth AmericaRest of World (ROW)

By Installation Sites Insights

The on-grid segment is estimated to witness significant growth during the forecast period.In the realm of renewable energy, on-grid distributed solar power systems have emerged as a cost-effective solution for residential consumers. These systems, which operate in conjunction with the grid, enable homes to utilize solar energy while remaining connected to the power grid. Solar panels installed in homes are linked to appliances, meters, and the grid, providing substantial cost savings by eliminating the need for batteries and standalone equipment. The installation and maintenance of such equipment add to the overall cost, making on-grid distributed solar systems a more affordable and simpler alternative. Moreover, the integration of advanced technologies, such as machine learning, energy management systems, and data analytics, enhances the efficiency and performance of these systems. Energy service companies and solar developers are increasingly embracing these technologies to optimize energy production and consumption. The adoption of renewable portfolio standards, net metering, power purchase agreements, and feed-in tariffs further incentivizes the growth of the on-grid distributed

In this dataset the anther's analysis is based on data from NREL about Solar & Wind energy generation by operation areas.

NASA Prediction of Worldwide Energy Resources

Solar

Monthly averages for global horizontal radiation over 22-year period (Jul 1983

• Jun 2013)

Wind

Monthly average wind speed at 50m above the surface of earth over a 30-year period (Jan 1984 - Dec 2013)Year: Averaged Over 10 to 15 years

COA = central operating area.

EOA = eastern operating area.

SOA = southern operating area.

WOA = western operating area. Source: NRELSource Link

This dataset contains over two years of 1-minute resolution data collected from four floating solar sites, as well as data from a land-based PV system co-located with one of the floating sites. The dataset includes highly granular module temperature measurements - five modules per floating site, with three sensors per module, totaling 15 module temperature sensors per floating site. In addition to the module temperature data, meteorological data collected at the floating sites is also included, along with traditional PV system-level parameters. The data is intended for analysis of solar energy production, efficiency, and performance degradation over time. For information about the data file usage see the "README" resource below. See "Metadata File" for information about individual files and other metadata information.

The Distributed Solar Power Generation Market size was valued at USD 149.72 Million in 2023 and is projected to reach USD 239.95 Million by 2032, exhibiting a CAGR of 6.97 % during the forecasts periods. Distributed solar power generation involves producing electricity from solar panels installed at or near the point of use, such as on rooftops or in local solar farms. This decentralized approach contrasts with traditional, centralized power plants that transmit electricity over long distances. Distributed solar systems can be connected to the local grid or operate independently in microgrids, providing flexibility and resilience. They help reduce transmission losses and enhance energy security by diversifying power sources. Additionally, distributed solar power supports the integration of renewable energy into the grid, reducing reliance on fossil fuels and lowering greenhouse gas emissions. Recent developments include: In May 2022, GreenYellow was awarded a contract to build 8.03 MWp of solar distributed generation (DG) plants to supply power to a pharmacy chain Grupo DPSP in Brazil. It has signed the agreement with Brazil's Grupo DPSP to install 25,000 PV at five locations, three in Sao Paulo, one in Rio de Janeiro, and one in the Federal District. The contract has a term of ten years, during which GreenYellow will supply 15 GWh of power annually to Grupo DPSP. GreenYellow will provide the entire initial investment and take care of the plant's construction, operation, and maintenance (O&M) for the duration of the contract., In March 2022, Smart Power India (SPI) announced partnering with Adani Solar to promote solar energy usage in rural areas of Uttar Pradesh, Bihar, Jharkhand, and Odisha. Furthermore, SPI signed a memorandum of understanding (MoU) with Adani Solar to ensure equitable access to last-mile electricity and encourage energy transition. The MoU aims to boost the usage of solar rooftop panels and achieve five MW of solar deployment through Adani Solar and partners in rural and peri-urban areas of the Indian states.. Key drivers for this market are: 4., Favorable Government Policies4.; Declining Solar Panel Costs. Potential restraints include: 4., Development of Alternate Sources of Renewable Energy. Notable trends are: Declining Price of Solar PV Systems and Installations Cost Expected to Drive the Market.

The leading countries for installed renewable energy in 2024 were China, the United States, and Brazil. China was the leader in renewable energy installations, with a capacity of around 1,827 gigawatts. The U.S., in second place, had a capacity of around 428 gigawatts. Renewable energy is an important step in addressing climate change and mitigating the consequences of this phenomenon. Renewable energy capacity and productionRenewable power capacity is defined as the maximum generating capacity of installations that use renewable sources to generate electricity. The share of renewable energy in the world’s power production has increased in recent years, surpassing 30 percent in 2023. Renewable energy consumption varies from country to country. The leading countries for renewable energy consumption are China, the United States, and Canada.Renewable energy sourcesThere are various sources of renewable energy used globally, including bioenergy, solar energy, hydropower, and wind energy, to name a few. Globally, China and Brazil are the top two countries in terms of generating the most energy through hydropower. Regarding solar power, China, the United States, and Japan boast the highest installed capacities worldwide.

Solar power generation in India has increased considerably in the last few years. In 2024, the country produced roughly 133.81 terawatt-hours of electricity from solar energy. India aims to achieve a total solar capacity of 280 gigawatts by 2030. Solar potential in India India, blessed with about 300 sunny days yearly, experiences a significant influx of solar energy. This annual solar potential surpasses the collective energy output of all available fossil fuel reserves. In 2024, solar power comprised nearly 36 percent of India's renewable potential, marking a substantial shift toward a more sustainable and diverse energy mix. Solar power in Gujarat The Gujarat Renewable Energy Policy introduced by the state's government sets a target to generate 50 perent of renewable energy by 2030. As of March 2024, Gujarat was the leading state, with nearly 2.5 gigawatts of installed rooftop solar capacity.

Solar Energy Solutions Market was valued at $35.16 B in 2023, and is projected to reach $USD 125.65 B by 2032, at a CAGR of 15.20%

Snapshot img

Solar Panels Market Size 2025-2029

The solar panels market size is forecast to increase by USD 60.1 billion, at a CAGR of 8.2% between 2024 and 2029.

The market is witnessing significant growth, driven by increasing investments in the renewable energy sector. This trend is fueled by governments and businesses worldwide seeking to reduce carbon emissions and promote sustainable energy solutions. Another key driver is the continuous advancements in thin-film solar photovoltaic (PV) modules, making solar energy more cost-effective and accessible. However, the intermittent nature of solar power poses a significant challenge. Solar energy production depends on sunlight availability, which can be unpredictable. This variability necessitates efficient energy storage solutions and smart grid management systems to ensure a consistent energy supply. Companies in the market must focus on developing innovative technologies to address this challenge and capitalize on the growing demand for renewable energy. By investing in research and development, collaborating with energy storage providers, and optimizing solar panel designs, companies can effectively navigate this market landscape and seize opportunities for growth.

What will be the Size of the Solar Panels 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 market continues to evolve, driven by technological advancements and expanding applications across various sectors. Off-grid systems, once a niche application, are increasingly gaining traction as an alternative power solution. Thin-film solar panels, with their flexibility and lower manufacturing costs, are finding new uses in solar powered appliances and buildings. Silicon wafer technology, a mainstay in solar panel manufacturing, faces competition from emerging alternatives. Solar powered refrigeration systems are revolutionizing cold storage solutions, while solar tracking systems optimize panel efficiency. Commercial solar adoption is on the rise, with businesses recognizing the cost savings and sustainability benefits. Solar panel warranty and performance degradation are key considerations for investors and consumers alike. Solar panel manufacturing processes are continuously improving, with a focus on reducing costs and increasing efficiency. Solar energy storage and solar energy policy are crucial components of the renewable energy landscape. Industrial solar applications are expanding, from powering factories to providing clean energy for heavy industry. Solar panel maintenance and cleaning are essential for maximizing system performance and longevity. Battery energy storage and net metering are transforming the way we store and distribute solar energy. Solar farm development and ground-mounted solar installations are shaping the future of utility-scale solar. Solar powered electronics, from calculators to smartphones, are becoming increasingly common. Solar powered homes and solar powered buildings are the future of sustainable living. The market is a dynamic and evolving landscape, with endless possibilities.

How is this Solar Panels Industry segmented?

The solar panels industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments. End-userPower utilitiesCommercialResidentialTypeCrystalline panelThin-film panelConnectivityOn-gridOff-gridTechnologySolar PVConcentrated solar power (CSP)GeographyNorth AmericaUSCanadaEuropeFranceGermanyItalyUKAPACChinaIndiaJapanSouth KoreaRest of World (ROW).

By End-user Insights

The power utilities segment is estimated to witness significant growth during the forecast period.The solar panel market experienced significant growth in 2024, with the power utility segment leading the way. Utility-scale solar power plants continued to expand, contributing to the reduction of carbon emissions and the generation of clean energy. According to the International Energy Agency (IEA), renewable capacity additions reached record levels in 2024, with solar photovoltaics (PV) accounting for around 80% of the growth in renewable electricity capacity. China, the US, Germany, Japan, and India were among the major contributors to the utility segment. For instance, China installed 277 GW of solar capacity in 2024, as reported by the National Energy Administration (NEA). Residential solar installations also gained traction, with homeowners seeking to save on energy costs and reduce their carbon footprint. Solar panel financing options, such as leasing and power purchase agreements, made solar adoption more accessible. Solar panel costs continued to decline, making solar energy a cost-effective solution for both

The solar energy capacity in the south Asian country of India peaked at some **** gigawatts in 2024, an increase from a capacity of nearly ** gigawatts in the previous year. In the period of consideration, figures presented a trend of continuous growth.

Berkeley Labs "Utility-Scale Solar", 2024 Edition presents analysis of empirical plant-level data from the U.S. fleet of ground-mounted photovoltaic (PV), PV+battery, and concentrating solar-thermal power (CSP) plants with capacities exceeding 5 MWAC. While focused on key developments in 2023, this report explores trends in deployment, technology, capital and operating costs, capacity factors, the levelized cost of solar energy (LCOE), power purchase agreement (PPA) prices, wholesale market value, net value, and interconnection queue data.

This dataset provides future supply curves representing the total resource potential for land-based wind and solar photovoltaic (PV) deployment in the conterminous United States after accounting for the impact of land-use and land-cover change (LULC). We use LULC projections from 2010 to 2050 developed based on the Intergovernmental Panel on Climate Change (IPCC) Special Report on Emission Scenarios. The LULC projections are subsequently fed into the renewable energy potential model (reV), which estimates total available wind and solar capacity after excluding non-developable land. Supply curves are provided for four IPCC scenarios in 2050: A1B, A2, B1, and B2. As a baseline, we also provide the supply curve from the B2 scenario in 2010. In addition to the supply curves, we also provide representative wind and solar generation profiles for each supply curve point. These generation profiles are provided as capacity factors and are based on a 2012 weather year using NSRDB and WindToolkit resource data. For more details on the supply curve and profile datasets included here please refer to README. Additional information on the supply curves and the LULC projections used to generate them, as well as an analysis of their impact on wind and solar deployment under decarbonization can be found in the publication linked below: "U.S. Wind and Solar PV Supply Curves with Future Land-use Change Publication".

Market Overview and Drivers: The global wind and solar power production forecast market holds significant growth potential, driven by the surging demand for renewable energy sources. In 2025, the market size is estimated to reach million, boasting a robust CAGR over the forecast period of 2025-2033. This growth is attributed to the increasing adoption of wind and solar energy by energy providers and grid operators, as well as government initiatives to promote sustainable energy production. Additionally, the rising population and industrialization in developing regions, coupled with advancements in wind turbine and solar panel technologies, are further fueling market expansion. Key Segments and Trends: The market is segmented based on type and application. Short-term forecasts, particularly those within a few hours ahead, are gaining traction due to their crucial role in optimizing grid stability and reducing energy waste. Longer-term forecasts, which span several days ahead, are used for strategic planning and forecasting future energy production. Energy providers and power traders are key application segments, as they leverage forecasts to optimize their operations and meet consumer demand. Digitalization and data analytics are emerging trends that promise to enhance forecast accuracy and efficiency. Moreover, advancements in meteorological modeling and satellite data are enabling more precise forecasts, further supporting market growth. Wind and solar power production forecasts are integral to the efficient integration of renewable energy sources into the electricity grid. Accurate predictions of wind and solar power availability help grid operators in balancing supply and demand, thereby ensuring system reliability and reducing the need for fossil fuel generation.

Solar energy capacity in Turkey peaked at almost **** gigawatts in 2023, up by ** percent from the previous year. In the period of consideration, figures presented a trend of continuous growth.

Load, wind and solar, prices in hourly resolution. This data package contains different kinds of timeseries data relevant for power system modelling, namely electricity prices, electricity consumption (load) as well as wind and solar power generation and capacities. The data is aggregated either by country, control area or bidding zone. Geographical coverage includes the EU and some neighbouring countries. All variables are provided in hourly resolution. Where original data is available in higher resolution (half-hourly or quarter-hourly), it is provided in separate files. This package version only contains data provided by TSOs and power exchanges via ENTSO-E Transparency, covering the period 2015-mid 2020. See previous versions for historical data from a broader range of sources. All data processing is conducted in Python/pandas and has been documented in the Jupyter notebooks linked below.

The Distributed solar power generation is the generation of power from solar energy for personal use. The energy produced is not sent to a centralized grid rather is used directly in households, industries, and commercial centers.

Dataset

This dataset includes İkitelli Solar Power Plant Electricity Production data and it was taken from IBB Open Data Platform. The link to reach : https://data.ibb.gov.tr/dataset/ikitelli-gunes-enerjisi-santrali-elektrik-uretim-miktarlari

The global market for solar resource assessment software is experiencing robust growth, driven by the increasing adoption of renewable energy sources and the need for accurate solar resource data to optimize solar power plant development and performance. The market size in 2025 is estimated at $500 million, exhibiting a Compound Annual Growth Rate (CAGR) of 12% from 2025 to 2033. This growth is fueled by several key factors. Firstly, the expanding solar energy sector necessitates precise data for site selection, system design, and yield prediction, boosting demand for sophisticated assessment software. Secondly, advancements in software capabilities, including improved algorithms, higher-resolution data integration, and user-friendly interfaces, are making these tools more accessible and efficient. Thirdly, government initiatives promoting renewable energy adoption in various regions are further stimulating market growth by providing incentives and creating favorable regulatory environments. The market is segmented by pricing (paid and free) and application (personal and commercial), with the paid commercial segment currently dominating due to its advanced features and suitability for large-scale projects. Geographic expansion, particularly in developing economies with significant solar potential, also contributes to the overall market expansion. Despite the positive outlook, challenges remain. The high initial investment cost of the software can hinder adoption among smaller players, and data accuracy concerns, particularly in regions with limited historical data, pose a limitation. Competition among established providers and new entrants is also intensifying. However, ongoing technological advancements, coupled with the growing demand for renewable energy, are anticipated to overcome these challenges and sustain the market's impressive growth trajectory throughout the forecast period. The market is expected to reach approximately $1.5 billion by 2033, demonstrating the significant potential for continued expansion in the coming years.

Solar Footprints in CaliforniaThis GIS dataset consists of polygons that represent the footprints of solar powered electric generation facilities and related infrastructure in California called Solar Footprints. The location of solar footprints was identified using other existing solar footprint datasets from various sources along with imagery interpretation. CEC staff reviewed footprints identified with imagery and digitized polygons to match the visual extent of each facility. Previous datasets of existing solar footprints used to locate solar facilities include: GIS Layers: (1) California Solar Footprints, (2) UC Berkeley Solar Points, (3) Kruitwagen et al. 2021, (4) BLM Renewable Project Facilities, (5) Quarterly Fuel and Energy Report (QFER)Imagery Datasets: Esri World Imagery, USGS National Agriculture Imagery Program (NAIP), 2020 SENTINEL 2 Satellite Imagery, 2023Solar facilities with large footprints such as parking lot solar, large rooftop solar, and ground solar were included in the solar footprint dataset. Small scale solar (approximately less than 0.5 acre) and residential footprints were not included. No other data was used in the production of these shapes. Definitions for the solar facilities identified via imagery are subjective and described as follows: Rooftop Solar: Solar arrays located on rooftops of large buildings. Parking lot Solar: Solar panels on parking lots roughly larger than 1 acre, or clusters of solar panels in adjacent parking lots. Ground Solar: Solar panels located on ground roughly larger than 1 acre, or large clusters of smaller scale footprints. Once all footprints identified by the above criteria were digitized for all California counties, the features were visually classified into ground, parking and rooftop categories. The features were also classified into rural and urban types using the 42 U.S. Code § 1490 definition for rural. In addition, the distance to the closest substation and the percentile category of this distance (e.g. 0-25th percentile, 25th-50th percentile) was also calculated. The coverage provided by this data set should not be assumed to be a complete accounting of solar footprints in California. Rather, this dataset represents an attempt to improve upon existing solar feature datasets and to update the inventory of "large" solar footprints via imagery, especially in recent years since previous datasets were published. This procedure produced a total solar project footprint of 150,250 acres. Attempts to classify these footprints and isolate the large utility-scale projects from the smaller rooftop solar projects identified in the data set is difficult. The data was gathered based on imagery, and project information that could link multiple adjacent solar footprints under one larger project is not known. However, partitioning all solar footprints that are at least partly outside of the techno-economic exclusions and greater than 7 acres yields a total footprint size of 133,493 acres. These can be approximated as utility-scale footprints. Metadata: (1) CBI Solar FootprintsAbstract: Conservation Biology Institute (CBI) created this dataset of solar footprints in California after it was found that no such dataset was publicly available at the time (Dec 2015-Jan 2016). This dataset is used to help identify where current ground based, mostly utility scale, solar facilities are being constructed and will be used in a larger landscape intactness model to help guide future development of renewable energy projects. The process of digitizing these footprints first began by utilizing an excel file from the California Energy Commission with lat/long coordinates of some of the older and bigger locations. After projecting those points and locating the facilities utilizing NAIP 2014 imagery, the developed area around each facility was digitized. While interpreting imagery, there were some instances where a fenced perimeter was clearly seen and was slightly larger than the actual footprint. For those cases the footprint followed the fenced perimeter since it limits wildlife movement through the area. In other instances, it was clear that the top soil had been scraped of any vegetation, even outside of the primary facility footprint. These footprints included the areas that were scraped within the fencing since, especially in desert systems, it has been near permanently altered. Other sources that guided the search for solar facilities included the Energy Justice Map, developed by the Energy Justice Network which can be found here:https://www.energyjustice.net/map/searchobject.php?gsMapsize=large&giCurrentpageiFacilityid;=1&gsTable;=facility&gsSearchtype;=advancedThe Solar Energy Industries Association’s “Project Location Map” which can be found here: https://www.seia.org/map/majorprojectsmap.phpalso assisted in locating newer facilities along with the "Power Plants" shapefile, updated in December 16th, 2015, downloaded from the U.S. Energy Information Administration located here:https://www.eia.gov/maps/layer_info-m.cfmThere were some facilities that were stumbled upon while searching for others, most of these are smaller scale sites located near farm infrastructure. Other sites were located by contacting counties that had solar developments within the county. Still, others were located by sleuthing around for proposals and company websites that had images of the completed facility. These helped to locate the most recently developed sites and these sites were digitized based on landmarks such as ditches, trees, roads and other permanent structures.Metadata: (2) UC Berkeley Solar PointsUC Berkeley report containing point location for energy facilities across the United States.2022_utility-scale_solar_data_update.xlsm (live.com)Metadata: (3) Kruitwagen et al. 2021Abstract: Photovoltaic (PV) solar energy generating capacity has grown by 41 per cent per year since 2009. Energy system projections that mitigate climate change and aid universal energy access show a nearly ten-fold increase in PV solar energy generating capacity by 2040. Geospatial data describing the energy system are required to manage generation intermittency, mitigate climate change risks, and identify trade-offs with biodiversity, conservation and land protection priorities caused by the land-use and land-cover change necessary for PV deployment. Currently available inventories of solar generating capacity cannot fully address these needs. Here we provide a global inventory of commercial-, industrial- and utility-scale PV installations (that is, PV generating stations in excess of 10 kilowatts nameplate capacity) by using a longitudinal corpus of remote sensing imagery, machine learning and a large cloud computation infrastructure. We locate and verify 68,661 facilities, an increase of 432 per cent (in number of facilities) on previously available asset-level data. With the help of a hand-labelled test set, we estimate global installed generating capacity to be 423 gigawatts (−75/+77 gigawatts) at the end of 2018. Enrichment of our dataset with estimates of facility installation date, historic land-cover classification and proximity to vulnerable areas allows us to show that most of the PV solar energy facilities are sited on cropland, followed by arid lands and grassland. Our inventory could aid PV delivery aligned with the Sustainable Development GoalsEnergy Resource Land Use Planning - Kruitwagen_etal_Nature.pdf - All Documents (sharepoint.com)Metadata: (4) BLM Renewable ProjectTo identify renewable energy approved and pending lease areas on BLM administered lands. To provide information about solar and wind energy applications and completed projects within the State of California for analysis and display internally and externally. This feature class denotes "verified" renewable energy projects at the California State BLM Office, displayed in GIS. The term "Verified" refers to the GIS data being constructed at the California State Office, using the actual application/maps with legal descriptions obtained from the renewable energy company. https://www.blm.gov/wo/st/en/prog/energy/renewable_energy https://www.blm.gov/style/medialib/blm/wo/MINERALS_REALTY_AND_RESOURCE_PROTECTION_/energy/solar_and_wind.Par.70101.File.dat/Public%20Webinar%20Dec%203%202014%20-%20Solar%20and%20Wind%20Regulations.pdfBLM CA Renewable Energy Projects | BLM GBP Hub (arcgis.com)Metadata: (5) Quarterly Fuel and Energy Report (QFER) California Power Plants - Overview (arcgis.com)