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

State-level data on all energy sources. Data on production, consumption, reserves, stocks, prices, imports, and exports. Data are collated from state-specific data reported elsewhere on the EIA website and are the most recent values available. Data on U.S. territories also available.

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.

Context

This is a nicely formatted version of the US Energy Information Administration's U.S. Electric System Operating Data.

It's broken out by aggregation level: US, Regions, Balancing authorities and Balancing authority subregion. Then within that it's broken out into either region, balancing authority or individual utility.

Then each csv is includes data on - BA-to-BA interchange (suffix ID.H) - Day-ahead demand forecast (DF.H) - Demand (D.H) - Net generation by energy source (NG.SUN.H, NG.COL.H, NG.NG.H etc) - Net generation (NG.H) - Total interchange (TI.H)

Note: .H in the suffix stands for hourly in UTC time.

You can see the full data dictionary in data_dictionary.csv

Raw data

The raw data comes from the EIA's bulk data download facility. It's downloaded using this notebook. And structured using this notebook.

The dataset encompasses monthly electricity generation data spanning from January 2001 to September 2023. It includes various columns, notably "Month" indicating the specific month and year, and "All Fuels (Utility-Scale)" providing the total electricity generation in thousand megawatt-hours. The dataset further breaks down electricity generation into specific sources, such as coal, natural gas, nuclear, conventional hydroelectric, wind, and all solar. Each entry in the dataset corresponds to a particular month, and the values represent the electricity generation from the specified sources in thousand megawatt-hours. For instance, in September 2023, the total electricity generation was 358,136.26 thousand megawatt-hours, with contributions from coal, natural gas, nuclear, conventional hydroelectric, wind, and all solar sources. This dataset provides a comprehensive overview of the electricity generation landscape over the specified timeframe, allowing for detailed analyses and insights into the dynamics of different energy sources.

Purpose: The purpose of this dataset is to provide a detailed record of monthly electricity generation from various sources over the period from September 2001 to September 2023. The dataset aims to offer insights into the dynamics of energy production, specifically focusing on different fuel sources utilized for generating electricity.

Key aspects and purposes of this dataset include:

Energy Source Analysis: The dataset enables an analysis of the contribution of different energy sources (coal, natural gas, nuclear, hydroelectric, wind, and solar) to the overall electricity generation. This analysis is crucial for understanding the diversity of the energy mix.

Temporal Trends: By spanning over a lengthy period, the dataset allows for the identification of temporal trends and patterns in electricity generation. This information is valuable for assessing the evolution of energy production strategies and identifying any long-term shifts.

Policy and Market Impact: Changes in electricity generation over time can be influenced by various factors, including policy decisions, market dynamics, and technological advancements. Researchers and policymakers can use this dataset to assess the impact of such factors on the energy landscape.

Renewable Energy Assessment: With data on renewable sources like wind and solar, the dataset facilitates the evaluation of the role of renewable energy in the overall electricity generation. This is particularly important for monitoring progress towards sustainable and environmentally friendly energy practices.

Resource Planning: Utilities, energy companies, and policymakers can use the dataset for resource planning and decision-making. Understanding the trends in electricity generation helps in optimizing resource allocation and planning for future energy needs.

Environmental Impact: The dataset provides insights into the environmental impact of electricity generation, as different sources have varying levels of environmental sustainability. This information is valuable for assessing the overall environmental footprint of the energy sector. In summary, the dataset serves as a valuable resource for stakeholders in the energy sector, researchers, and policymakers, providing a comprehensive view of electricity generation trends and patterns over time, and facilitating informed decision-making regarding energy policies and practices.

The U.S. Energy Information Administration (EIA) collects, analyzes, and disseminates independent and impartial energy information to promote sound policymaking, efficient markets, and public understanding of energy and its interaction with the economy and the environment.

The data included in Data360 is a subset of the data available from the source. Please refer to the source for complete data and methodology details.

This collection includes only a subset of indicators from the source dataset.

Dataset and details can be found at the US Energy Information Admininstration (EIA)'s RBECs website

Context

EIA administers the Residential Energy Consumption Survey (RECS) to a nationally representative sample of housing units. Traditionally, specially trained interviewers collect energy characteristics on the housing unit, usage patterns, and household demographics. For the 2015 survey cycle, EIA used Web and mail forms, in addition to in-person interviews, to collect detailed information on household energy characteristics. This information is combined with data from energy suppliers to these homes to estimate energy costs and usage for heating, cooling, appliances and other end uses — information critical to meeting future energy demand and improving efficiency and building design.

First conducted in 1978, the fourteenth RECS collected data from more than 5,600 households in housing units statistically selected to represent the 118.2 million housing units that are occupied as a primary residence. Data from the 2015 RECS are tabulated by geography and for particularly characteristics, such as housing unit type and income, that are of particular interest to energy analysis.

The results of each RECS include data tables, a microdata file, and a series of reports. Data tables are generally organized across two headings; "Household Characteristics" and "Consumption & Expenditures." See RECS data tables.

The RECS and many of the EIA supplier surveys are integral ingredients for some of EIA's more comprehensive data products and reports, such as the Annual Energy Outlook (AEO) and Monthly Energy Review (MER). These products allow for broader comparisons across sectors, as well as projections of future consumption trends.

Content

The Residential Energy Consumption Survey (RECS) is a periodic study conducted by the U.S. Energy Information Administration (EIA) that provides detailed information about energy usage in U.S. homes. RECS is a multi-year effort (Figure 1) consisting of a Household Survey phase, data collection from household energy suppliers, and end-use consumption and expenditures estimation.

The Household Survey collects data on energy-related characteristics and usage patterns of a national representative sample of housing units. The Energy Supplier Survey (ESS) collects data on how much electricity, natural gas, propane/LPG, fuel oil, and kerosene were consumed in the sampled housing units during the reference year. It also collects data on actual dollar amounts spent on these energy sources.

EIA uses models (energy engineering-based models in the 2015 survey and non-linear statistical models in past RECS) to produce consumption and expenditures estimates for heating, cooling, refrigeration, and other end uses in all housing units occupied as a primary residence in the United States. Originally conducted by trained interviewers with paper and pencil, the 2015 study used a combination of computer-assisted personal interview (CAPI), web, and mail modes to collect data for the Household and Energy Supplier Surveys.

Banner image credit: https://www.flickr.com/photos/caribb/1518299093

📊 Overview

This dataset contains monthly electricity consumption data and related indicators for the 48 contiguous U.S. states from January 1990 to December 2023. The dataset was constructed by merging time-series data from six key U.S. government agencies and includes 35 variables spanning:

Climatological and weather data Demographics Economic indicators Labor force statistics Geographical and urban-rural characteristics Environmental and energy data Electricity production, pricing, and consumption metrics

Each row corresponds to a unique month-year and state combination (48 samples per month-year), totaling 19,584 samples.

🎯 Targets

The dataset includes three target variables for modeling:

REC – Residential Electricity Consumption CEC – Commercial Electricity Consumption IEC – Industrial Electricity Consumption

🔧 Format

Rows: 19,584 (408 per state) Columns: 32 features + 3 target variables Time range: 1990–2023 Frequency: Monthly

Includes state as a categorical feature for multi-state learning

📚 Citation Request

This dataset is associated with the paper titled:

Electricity Demand Prediction Using Data-Driven Models: A Comprehensive Multi-Sector Analysis of Energy Consumption Dynamics (currently under peer review).

If you use this dataset in your research or publication, please cite the forthcoming paper.

📌 The formal citation will be added here once the paper is published. Follow this dataset for updates.

📥 Source Data

Raw data was sourced from:

U.S. Energy Information Administration (EIA) National Oceanic and Atmospheric Administration (NOAA) U.S. Census Bureau Bureau of Labor Statistics Environmental Protection Agency (EPA) U.S. Department of Commerce

All data used is publicly available and has been processed for consistency, completeness, and ease of use in machine learning and statistical modeling.

Data on annual emissions of Carbon Dioxide (CO2), Sulfur Dioxide (SO2), and Nitrogen Oxides (NOx). Data organized by type of electric power producer, by energy source, and by U.S. state. Annual time series extend back to 1990. Based on Form EIA-861 data. Electric Power Producer: Commercial Cogen, Commercial Non-Cogen, Electric Utility, Industrial Cogen, Industrial Non-Cogen, IPP NAICS-22 Cogen, IPP NAICS-22 Non-Cogen, and Total Electric Power Industry Energy Source: Coal, Geothermal, Natural Gas, Other, Other Biomass, Other Gases, Wood and Wood Derived Fuels, Petroleum, and All Energy Sources

United States US: Electricity Production From Oil Sources: % of Total data was reported at 0.904 % in 2015. This records a decrease from the previous number of 0.923 % for 2014. United States US: Electricity Production From Oil Sources: % of Total data is updated yearly, averaging 4.834 % from Dec 1960 (Median) to 2015, with 56 observations. The data reached an all-time high of 17.167 % in 1977 and a record low of 0.774 % in 2012. United States US: Electricity Production From Oil Sources: % of Total data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s United States – Table US.World Bank.WDI: Energy Production and Consumption. Sources of electricity refer to the inputs used to generate electricity. Oil refers to crude oil and petroleum products.; ; IEA Statistics © OECD/IEA 2014 (http://www.iea.org/stats/index.asp), subject to https://www.iea.org/t&c/termsandconditions/; Weighted average; Electricity production shares may not sum to 100 percent because other sources of generated electricity (such as geothermal, solar, and wind) are not shown. Restricted use: Please contact the International Energy Agency for third-party use of these data.

United States US: Electricity Production From Coal Sources: % of Total data was reported at 34.233 % in 2015. This records a decrease from the previous number of 39.651 % for 2014. United States US: Electricity Production From Coal Sources: % of Total data is updated yearly, averaging 51.846 % from Dec 1960 (Median) to 2015, with 56 observations. The data reached an all-time high of 57.679 % in 1988 and a record low of 34.233 % in 2015. United States US: Electricity Production From Coal Sources: % of Total data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s United States – Table US.World Bank.WDI: Energy Production and Consumption. Sources of electricity refer to the inputs used to generate electricity. Coal refers to all coal and brown coal, both primary (including hard coal and lignite-brown coal) and derived fuels (including patent fuel, coke oven coke, gas coke, coke oven gas, and blast furnace gas). Peat is also included in this category.; ; IEA Statistics © OECD/IEA 2014 (http://www.iea.org/stats/index.asp), subject to https://www.iea.org/t&c/termsandconditions/; Weighted average; Electricity production shares may not sum to 100 percent because other sources of generated electricity (such as geothermal, solar, and wind) are not shown. Restricted use: Please contact the International Energy Agency for third-party use of these data.

This dataset lists the total energy sources (in TWh) consumed for each country in Europe, by source over time from 1980 to 2016.Sources: U.S. Energy Information Administration, via theshiftdataportal.org, accessed April 7 2021.US EIA Historical Statistics for 1980-2016Energy Information Administration, accessed on 2019-06-05GPD Data: World Bank, accessed on 2019-05-02Population data: Free data from Gapminder.org, accessed on 2019-09-10

This dataset is about countries in Central America. It has 8 rows. It features 3 columns: electricity production from coal sources, and fossil fuel energy consumption.

The dataset contains information on the U.S. electricity generation mix, including the percentage of electricity generated from various energy sources.

Global primary energy consumption has increased dramatically in recent years and is projected to continue to increase until 2045. Only renewable energy consumption is expected to increase between 2045 and 2050 and reach almost 30 percent of the global energy consumption. Energy consumption by country The distribution of energy consumption globally is disproportionately high among some countries. China, the United States, and India were by far the largest consumers of primary energy globally. On a per capita basis, Qatar, Singapore, the United Arab Emirates, and Iceland had the highest per capita energy consumption. Renewable energy consumption Over the last two decades, renewable electricity consumption has increased to reach over 48.8 exajoules in 2024. Among all countries globally, China had the largest installed renewable energy capacity as of that year, followed by the United States.

New York Electric Generation By Fuel Type, GWh dataset provides data on total electricity requirements and in-state generation for New York State in giga-watt hours. Sources of electricity include coal, natural gas, petroleum products, hydro, nuclear, waste, landfill gas, wood, wind, solar, and net imports of electricity. How does your organization use this dataset? What other NYSERDA or energy-related datasets would you like to see on Open NY? Let us know by emailing OpenNY@nyserda.ny.gov.

Electricity consumption in the United States totaled ***** terawatt-hours in 2024, the highest value in the period under consideration. Figures represent energy end use, which is the sum of retail sales and direct use of electricity by the producing entity. Electricity consumption in the U.S. is expected to continue increasing in the coming years. Which sectors consume the most electricity in the U.S.? Consumption has often been associated with economic growth. Nevertheless, technological improvements in efficiency and new appliance standards have led to a stabilizing of electricity consumption, despite the increased ubiquity of chargeable consumer electronics. Electricity consumption is highest in the residential sector, followed by the commercial sector. Equipment used for space heating and cooling account for some of the largest shares of residential electricity end use. Leading states in electricity use Industrial hub Texas is the leading electricity-consuming U.S. state. In 2023, the southwestern state, which houses major refinery complexes and is also home to over ** million people, consumed almost ****terawatt-hours. Florida and California followed in second and third, with an annual consumption of approximately *** terawatt-hours and 240 terawatt-hours, respectively.

Whether you wonder to know how's the electricity demand is evolving in the US during the year or you would like to know how's the electricity mix has evolved through time, that's the dataset for you!

Energy is always something we have taken for granted, but in recent years with all the bottlenecks and geopolitical problems that have followed one another, it has become an increasingly central theme.

Directly pulled off from the EIA API, in this Kaggle dataset you can find hourly data about the energy production by each source in the US.

Possible Data science problems: - EDA - Energy demand forecasting - Electricity production forecasting by source - and many more

These datasets, namely .csv, are snapshots of the regional datasets published by the U.S. Energy Information Administration (EIA) between July 1, 2018 and June 30, 2023. EIA publishes hourly operational data across the United States electricity grid, including demand, net generation of electricity from various sources (such as coal, natural gas, solar), CO2 emissions, import/export to other regions, and many more. The complete details of the EIA-930 data is available here: https://www.eia.gov/electricity/gridmonitor/about. Furthermore, we obtained the solar capacities of each year and each region from EIA (https://www.eia.gov/electricity/data/state/) and had stored the information in the file solar_capacity_factor.csv.

This deposit combines data from https://doi.org/10.3886/E146782V1 and https://doi.org/10.3886/E146801V1 to produce files containing the hourly generation, costs, and capacities of virtually all power plants in the lower 48 United States between 1999-2012 for their use in "Data and Code for: Imperfect Markets versus Imperfect Regulation in U.S. Electricity Generation" (https://doi.org/10.3886/E115467V1).