U.S. Monthly Renewable Energy Consumption by Source and Sector (1973-2024)

https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F8734253%2F0fe60a09cda8f60e446422f6721e68f5%2Frenewable%20energy%20consumption%20flag.png?generation=1715139420693463&alt=media" alt=""> This dataset provides monthly data on renewable energy consumption in the United States from January 1973 to December 2024, broken down by energy source and consumption sector. The data is sourced from the U.S. Energy Information Administration (EIA).

Renewable energy has become an increasingly important part of the U.S. energy mix in recent years as the country seeks to reduce its greenhouse gas emissions and dependence on fossil fuels. This dataset allows for detailed analysis of renewable energy trends over time and across different sectors of the economy.

IMPORTANT: Dataset Info

• Every entry that has a value of 0 means that the datapoint was either "Not Available," "No Data Reported," or "Not Meaningful"
• You most likely want to exclude the column titled Total Renewable Energy from your comparative analysis across fuel types as it represents the sum of the others

Columns

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[ Total 17 file , 74 columns, World Wide, 57 Years data ]

The Renewable Energy World Wide dataset is a comprehensive collection of global renewable energy data from 1965 to 2022. The dataset includes information on hydropower, wind, solar, biofuel, and geothermal energy production from around the world.

Since the Industrial Revolution, the energy mix of most countries across the world has become dominated by fossil fuels. This has major implications for the global climate, as well as for human health. To reduce CO2 emissions and local air pollution, the world needs to rapidly shift towards low-carbon sources of energy – nuclear and renewable technologies. Renewable energy will play a key role in the decarbonization of our energy systems in the coming decades. But how rapidly is our production of renewable energy changing? What technologies look most promising in transforming our energy mix?

Data vastness of this dataset:

1. renewable-share-energy data.
2. modern-renewable-energy-consumption.
3. modern-renewable-prod
4. share-electricity-renewables
5. hydropower-consumption
6. hydro-share-energy
7. share-electricity-hydro
8. wind-generation
9. cumulative-installed-wind-energy-capacity-gigawatts
10. wind-share-energy
11. share-electricity-wind
12. solar-energy-consumption
13. installed-solar-PV-capacity
14. solar-share-energy
15. share-electricity-solar
16. biofuel-production
17. installed-geothermal-capacity

Global consumption of renewable energy has increased significantly over the last two decades. Consumption levels nearly reached ***** exajoules in 2024. This upward trend reflects the increasing adoption of clean energy technologies worldwide. However, despite its rapid growth, renewable energy consumption still remains far below that of fossil fuels. Fossil fuels still dominate energy landscape While renewable energy use has expanded, fossil fuels continue to dominate the global energy mix. Coal consumption reached *** exajoules in 2023, marking its highest level to date. Oil consumption also hit a record high in 2024, exceeding *** billion metric tons for the first time. Natural gas consumption has remained relatively stable in recent years, hovering around **** trillion cubic meters annually. These figures underscore the ongoing challenges in transitioning to a low-carbon energy system. Renewable energy investments The clean energy sector has experienced consistent growth over the past decade, with investments more than doubling from *** billion U.S. dollars in 2014 to *** billion U.S. dollars in 2023. China has emerged as the frontrunner in renewable energy investment, contributing *** billion U.S. dollars in 2023. This substantial funding has helped propel the renewable energy industry forward.

This table expresses the use of renewable energy as gross final consumption of energy. Figures are presented in an absolute way, as well as related to the total energy use in the Netherlands. The total gross final energy consumption in the Netherlands (the denominator used to calculate the percentage of renewable energy per ‘Energy sources and techniques’) can be found in the table as ‘Total, including non-renewables’ and Energy application ‘Total’. The gross final energy consumption for the energy applications ‘Electricity’ and ‘Heat’ are also available. With these figures the percentages of the different energy sources and applications can be calculated; these values are not available in this table. The gross final energy consumption for ‘Transport’ is not available because of the complexity to calculate this. More information on this can be found in the yearly publication ‘Hernieuwbare energie in Nederland’.

Renewable energy is energy from wind, hydro power, the sun, the earth, heat from outdoor air and biomass. This is energy from natural processes that is replenished constantly.

The figures are broken down into energy source/technique and into energy application (electricity, heat and transport).

This table focuses on the share of renewable energy according to the EU Renewable Energy Directive. Under this directive, countries can apply an administrative transfer by purchasing renewable energy from countries that have consumed more renewable energy than the agreed target. For 2020, the Netherlands has implemented such a transfer by purchasing renewable energy from Denmark. This transfer has been made visible in this table as a separate energy source/technique and two totals are included; a total with statistical transfer and a total without statistical transfer.

Figures for 2020 and before were calculated based on RED I; in accordance with Eurostat these figures will not be modified anymore. Inconsistencies with other tables undergoing updates may occur.

Data available from: 1990

Status of the figures: This table contains definite figures up to and including 2023, figures for 2024 are revised provisional.

Changes as of November 2025: Figures have been revised from 2021 – 2022 and updated for 2023 -2024 The revision concerns improved data on (bio)diesel oil consumption by mobile equipment in the construction and services sectors. This results in a shift of biodiesel consumption in energy application transport to energy application heating and cooling. These changes amount to a few PJ.

Changes as of July 2025: Compiling figures on solar electricity took more time than scheduled. Consequently, not all StatLine tables on energy contain the most recent 2024 data on production for solar electricity. This table contains the outdated data from June 2025. The most recent figures are 5 percent higher for 2024 solar electricity production. These figures are in these two tables (in Dutch): - StatLine - Zonnestroom; vermogen en vermogensklasse, bedrijven en woningen, regio - StatLine - Hernieuwbare energie; zonnestroom, windenergie, RES-regio Next update is scheduled in November 2025. From that moment all figures will be fully consistent again. We apologize for the inconvenience.

Changes as of june 2025: Figures for 2024 have been added.

Changes as of January 2025 Renewable cooling has been added as Energy source and technique from 2021 onwards, in accordance with RED II. Figures for 2020 and earlier follow RED I definitions, renewable cooling isn’t a part of these definitions.
The energy application “Heat” has been renamed to “Heating and cooling”, in accordance with RED II definitions. RED II is the current Renewable Energy Directive which entered into force in 2021

Changes as of November 15th 2024 Figures for 2021-2023 have been adjusted. 2022 is now definitive, 2023 stays revised provisional. Because of new insights for windmills regarding own electricity use and capacity, figures on 2021 have been revised.

Changes as of March 2024: Figures of the total energy applications of biogas, co-digestion of manure and other biogas have been restored for 2021 and 2022. The final energy consumption of non-compliant biogas (according to RED II) was wrongly included in the total final consumption of these types of biogas. Figures of total biogas, total biomass and total renewable energy were not influenced by this and therefore not adjusted.

When will new figures be published? Provisional figures on the gross final consumption of renewable energy in broad outlines for the previous year are published each year in June. Revised provisional figures for the previous year appear each year in June.

In November all figures on the consumption of renewable energy in the previous year will be published. These figures remain revised provisional, definite figures appear in November two years after the reporting year. Most important (expected) changes between revised provisional figures in November and definite figures a year later are the figures on solar photovoltaic energy. The figures on the share of total energy consumption in the Netherlands could also still be changed by the availability of adjusted figures on total energy consumption.

The UK's energy use from renewable and waste sources, by source (for example, hydroelectric power, wind, wave, solar, and so on) and industry (SIC 2007 section - 21 categories), 1990 to 2023.

📝 Description

The Global Energy Consumption Dataset provides comprehensive insights into energy usage across different countries and sectors over the past two decades. The dataset aims to help researchers, data analysts, and policymakers understand consumption patterns, identify high-consumption regions, and analyze the impact of renewable energy adoption and carbon emissions.

This dataset allows you to:

Visualize global energy trends. Predict future consumption patterns. Analyze the impact of renewable energy and fossil fuels. Correlate energy usage with economic growth and carbon emissions. Build machine learning models for energy price forecasting and efficiency analysis.

In 2024, renewable energy consumption in China reached *****exajoules, more than any other country in the world. Renewable sources such as geothermal, wind, solar, biomass, and waste were included in this measurement, while cross-border electricity trade was not taken into account. Hydropower in China China is by far the leading consumer of hydropower, with over ***** times the consumption of other leading countries such as Canada and Brazil. Several of the world’s hydroelectric dams with the highest generating capacity are located in China, many of which were constructed in the past two decades. The **************** on the Yangtze River was completed in 2012 to become the largest in the world. Energy consumption in the United States After China, the United States was the second-highest consumer of renewable energy in the world. Both countries also consumed the most primary energy overall. The United States strives to achieve energy independence in order to reduce imports of foreign energy sources. As renewable energy gains momentum in a fossil-fuel dominated industry, renewable production in the United States has slightly exceeded the country’s consumption in recent years, and additionally, have both more than doubled since 1975.

Renewable energy production in the United States reached an all-time high of 8,788 trillion British thermal units in 2024. Consumption followed closely behind at 8,581 trillion British thermal units. U.S. investment in clean energy The United States' investment in renewables has greatly increased in the past two decades. Clean energy in the United States currently comes primarily from wind, solar, and hydropower, with significant contributions from biofuel and biomass - also known as biopower. Investments are motivated not only by environmental concerns, but also by unstable markets for traditional fossil fuels. Crisis in oil markets When oil prices peaked during the 2008 financial crisis, investors turned toward developing renewables as well as increasing domestic oil production as a more economically viable source. During the 2010s oil glut, oversupply of shale oil followed the expansion of extraction methods such as hydraulic fracturing, used to access the country’s large reserves of sandstone deep underground.

Description for Solar Power Generation

UNISOLAR dataset contains high-granularity Photovoltaic (PV) solar energy generation, solar irradiance, and weather data from 42 PV sites deployed across five campuses at La Trobe University, Victoria, Australia. The dataset includes approximately two years of PV solar energy generation data collected at 15-minute intervals. Geographical placement and engineering specifications for each of the sites are also provided to aid researchers in modeling solar energy generation. Weather data is available at 1-minute intervals and is provided by the Australian Bureau of Meteorology (BOM). Apparent temperature, air temperature, dew point temperature, relative humidity, wind speed, and wind direction were provided under the weather data. The paper describes the data collection. methods, cleaning, and merging with weather data. This dataset can be used to forecast, benchmark, and enhance operational outcomes in solar sites.

Acknowledgements Please cite the following paper if you use this dataset:

S. Wimalaratne, D. Haputhanthri, S. Kahawala, G. Gamage, D. Alahakoon and A. Jennings, "UNISOLAR: An Open Dataset of Photovoltaic Solar Energy Generation in a Large Multi-Campus University Setting," 2022 15th International Conference on Human System Interaction (HSI), 2022, pp. 1-5, doi: 10.1109/HSI55341.2022.9869474. Usage Policy and Legal Disclaimer This dataset is being distributed only for Research purposes, under Creative Commons Attribution-Noncommercial-ShareAlike license (CC BY-NC-SA 4.0). By clicking on download button(s) below, you are agreeing to use this data only for non-commercial, research, or academic applications. You may need to cite the above papers if you use this dataset.

Github: https://github.com/CDAC-lab/UNISOLAR

Description for Power Consumption Data

About Dataset

UNICON, a large-scale open dataset on University Consumption of utilities, electricity, gas and water. This dataset is publicly released as part of La Trobe University’s commitment to Net Zero Carbon Emissions by 2029, for which we are building the La Trobe Energy AI/Analytics Platform (LEAP) that leverages Artificial Intelligence (AI) and Data Analytics to analyze, predict and optimize the consumption, generation and utilization of electricity, renewables, gas and water resources. UNICON contains consumption data for La Trobe’s five campuses in geographically distributed regions, across four years, 2018-2021 inclusive. This includes the COVID-19 global pandemic timeline of university shutdown and work from home measures that led to a significant decrease in the consumption of utilities. The consumption data consists of smart electricity meter readings at 15-minute granularity, gas meter readings at hourly intervals and water meter readings at 15-minute intervals. UNICON also contains weather data from the closest weather station to each campus, collected at two-speed latency of 1 minute and 10 minutes. The dataset is annotated with internal events of significance, such as energy conservation measures (ECMs) and other measurement and validation (M&V) activities conducted as part of LEAP optimization. To the best of our knowledge, this is the first large-scale, comprehensive, open dataset for the three main utilities, electricity, gas, and water consumption in a multi-campus university setting.

Dataset file descriptions

campus_meta.csv – This file contains information about each campus in the university network.

nmi_meta.csv – Information about NMIs such as campus location and peak demand is listed in this file.

building_meta.csv – This file contains meta information about buildings in each campus which include campus location, floor area and etc.

calender.csv – University calendar for the data collection period is included in this file.

events.csv – There are series of events happened at each building which include energy efficiency projects such as LED installation and HVAC system updates. This file contains the dates related to each event at building level.

nmi_consumption.csv – Consumption data of NMIs are recorded in this file.

building_consumption.csv – Consumption data of buildings are recorded in this file.

building_submeter_consumption.csv – Consumption data of building sub-meters are recorded in this file.

gas_consumption.csv – Gas consumption data of available campuses are recorded in this file.

water_consumption.csv – Water consumption data of available campuses are recorded in this file.

weather_data.csv – Weather data collected from respective weather stations.

Acknowledgements Please cite the following paper if you use this dataset:

H. Moraliyage, N. Mills, P. Rathnayake, D. De Silva and A. Jennings, "UNICON: An Open Dataset of Electricity, Gas and Water Consumption in a Large Multi-Campus University Setting," 2022 15th International Conference on Hu...

Consumption of renewable energy in the United States has experienced a continual annual increase since 1998. In 2024, renewables consumption in the North American country peaked at nearly *****exajoules. This represented a growth of roughly seven percent when compared to the figure reported the previous year.

In recent years, scrutiny over the environmental impact of more traditional energy sources has translated into a rapid growth of renewables. The share of energy from renewable sources used in electricity generation worldwide has been rising annually, reaching roughly **** percent in 2024. Increasing capacity and production As renewable shares continue to grow, so does the installed capacity. Since 2010 the cumulative renewable energy capacity has risen from *** terawatts to *** terawatts in 2024. Renewable electricity production has also increased significantly, rising to *** petawatt hours in 2022. Despite this impressive and steady growth, the consumption of renewable energy still pales in comparison when compared to fossil fuel energy consumption. Consumption on the rise In the past two decades, global consumption of renewables has risen from just ** exajoules in 2000, to over ** exajoules in 2023. Globally, both China and the United States are the leading consumers of renewable energy, with a combined consumption of ** exajoules.

The Global Renewable Energy and Indicators Dataset is a comprehensive resource designed for in-depth analysis and research in the field of renewable energy. This dataset includes detailed information on renewable energy production, socio-economic factors, and environmental indicators from around the world. Key features include:

1.Renewable Energy Data: Covers various types of renewable energy sources such as solar, wind, hydro, and geothermal energy, detailing their production (in GWh), installed capacity (in MW), and investments (in USD) across different countries and years.

2.Socio-Economic Indicators: Includes data on population, GDP, energy consumption, energy exports and imports, CO2 emissions, renewable energy jobs, government policies, R&D expenditure, and renewable energy targets.

3.Environmental Factors: Provides information on average annual temperature, annual rainfall, solar irradiance, wind speed, hydro potential, geothermal potential, and biomass availability.

4.Additional Features: Contains relevant features such as energy storage capacity, grid integration capability, electricity prices, energy subsidies, international aid for renewables, public awareness scores, energy efficiency programs, urbanization rate, industrialization rate, energy market liberalization, renewable energy patents, educational level, technology transfer agreements, renewable energy education programs, local manufacturing capacity, import tariffs, export incentives, natural disasters, political stability, corruption perception index, regulatory quality, rule of law, control of corruption, economic freedom index, ease of doing business, innovation index, number of research institutions, renewable energy conferences, renewable energy publications, energy sector workforce, proportion of energy from renewables, public-private partnerships, and regional renewable energy cooperation.

This dataset is ideal for analysts, researchers, and policymakers aiming to study trends, impacts, and strategies related to renewable energy development globally.

The City and County Energy Profiles lookup table provides modeled electricity and natural gas consumption and expenditures, on-road vehicle fuel consumption, vehicle miles traveled, and associated emissions for each U.S. city and county. Please note this data is modeled and more precise data may be available from regional, state, or other sources. The modeling approach for electricity and natural gas is described in Sector-Specific Methodologies for Subnational Energy Modeling: https://www.nrel.gov/docs/fy19osti/72748.pdf. This data is part of a suite of state and local energy profile data available at the "State and Local Energy Profile Data Suite" link below and complements the wealth of data, maps, and charts on the State and Local Planning for Energy (SLOPE) platform, available at the "Explore State and Local Energy Data on SLOPE" link below. Examples of how to use the data to inform energy planning can be found at the "Example Uses" link below.

between September 2013 and July 2015.

United States US: Renewable Energy Consumption: % of Total Final Energy Consumption data was reported at 8.717 % in 2015. This records a decrease from the previous number of 8.754 % for 2014. United States US: Renewable Energy Consumption: % of Total Final Energy Consumption data is updated yearly, averaging 5.454 % from Dec 1990 (Median) to 2015, with 26 observations. The data reached an all-time high of 8.754 % in 2014 and a record low of 4.089 % in 1994. United States US: Renewable Energy Consumption: % of Total Final Energy Consumption data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s USA – Table US.World Bank: Energy Production and Consumption. Renewable energy consumption is the share of renewables energy in total final energy consumption.; ; World Bank, Sustainable Energy for All (SE4ALL) database from the SE4ALL Global Tracking Framework led jointly by the World Bank, International Energy Agency, and the Energy Sector Management Assistance Program.; Weighted Average;

Global Renewable Energy Consumption by Country, 2023 Discover more data with ReportLinker!

Jordan JO: Renewable Energy Consumption: % of Total Final Energy Consumption data was reported at 3.229 % in 2015. This records an increase from the previous number of 3.131 % for 2014. Jordan JO: Renewable Energy Consumption: % of Total Final Energy Consumption data is updated yearly, averaging 2.332 % from Dec 1990 (Median) to 2015, with 26 observations. The data reached an all-time high of 3.229 % in 2015 and a record low of 1.688 % in 2005. Jordan JO: Renewable Energy Consumption: % of Total Final Energy Consumption data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Jordan – Table JO.World Bank: Energy Production and Consumption. Renewable energy consumption is the share of renewables energy in total final energy consumption.; ; World Bank, Sustainable Energy for All (SE4ALL) database from the SE4ALL Global Tracking Framework led jointly by the World Bank, International Energy Agency, and the Energy Sector Management Assistance Program.; Weighted Average;

This scatter chart displays renewable energy consumption (% of total final energy consumption) against electricity production from renewable sources, excluding hydroelectric (% of total). The data is about continents.

The indicator measures the share of renewable energy consumption in gross final energy consumption according to the Renewable Energy Directive. The gross final energy consumption is the energy used by end-consumers (final energy consumption) plus grid losses and self-consumption of power plants.