This dataset, compiled by NREL using data from ABB, the Velocity Suite and the U.S. Energy Information Administration dataset 861, provides average residential, commercial and industrial electricity rates with likely zip codes for both investor owned utilities (IOU) and non-investor owned utilities. Note: the files include average rates for each utility (not average rates per zip code), but not the detailed rate structure data found in the OpenEI U.S. Utility Rate Database.

The data package provides average residential, commercial, and industrial electricity rates by zip code for both investor-owned utilities (IOU) and non-investor owned utilities. The datasets include information such as peak load, generation, electric purchases, sales, revenues, customer counts and demand-side management programs, green pricing and net metering programs, and distributed generation capacity.

This dataset, compiled by NREL using data from ABB, the Velocity Suite and the U.S. Energy Information Administration dataset 861, provides average residential, commercial and industrial electricity rates with likely zip codes for both investor owned utilities (IOU) and non-investor owned utilities. Note: the files include average rates for each utility (not average rates per zip code), but not the detailed rate structure data found in the OpenEI U.S. Utility Rate Database.

In 2022, PG&E and Avangrid were the investor-owned electric utilities with the highest decarbonization index score in the United States, with overall scores of 4.6 and 4.2 points. They were closely followed by Public Service Enterprise Group (PSEG), which scored 4.1 that year. The U.S.'s power sector carbon intensity stood at 760 pounds of CO2 per megawatt-hour in 2023.

The table Non IOU Zipcodes 2019 is part of the dataset Open Energy Data Initiative: U.S. Electric Utility Consumption and Rates ***, available at https://redivis.com/datasets/w5hb-cs453cj2k. It contains 36494 rows across 9 variables.

Monthly, quarterly, and annual data on electricity generation, consumption, retail sales, price, revenue from retail sales, useful thermal output, fossil fuel stocks, fossil fuel receipts, and quality of fossil fuel. Data organized by fuel type, i.e., coal petroleum, natural gas, nuclear, hydroelectric, wind, solar, geothermal, and wood. Also, data organized by sector, i.e., electric power, electric utility, independent power producers, commercial, and industrial. Users of the EIA API are required to obtain an API Key via this registration form: http://www.eia.gov/beta/api/register.cfm

Analysis of ‘U.S. Electric Utility Companies and Rates: Look-up by Zipcode (2013)’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/ec3aadad-1753-4b00-a73a-388cdb62c3e3 on 28 January 2022.

--- Dataset description provided by original source is as follows ---

This dataset, compiled by NREL using data from ABB, the Velocity Suite and the U.S. Energy Information Administration dataset 861, provides average residential, commercial and industrial electricity rates by zip code for both investor owned utilities (IOU) and non-investor owned utilities. Note: the file includes average rates for each utility, but not the detailed rate structure data found in the OpenEI U.S. Utility Rate Database.

--- Original source retains full ownership of the source dataset ---

United States Electric Retail Price: Sold by Electric Utilities: Avg: Industrial data was reported at 6.880 USD/kWh in 2017. This records an increase from the previous number of 6.760 USD/kWh for 2016. United States Electric Retail Price: Sold by Electric Utilities: Avg: Industrial data is updated yearly, averaging 4.710 USD/kWh from Dec 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 7.100 USD/kWh in 2014 and a record low of 1.000 USD/kWh in 1970. United States Electric Retail Price: Sold by Electric Utilities: Avg: Industrial data remains active status in CEIC and is reported by Energy Information Administration. The data is categorized under Global Database’s United States – Table US.P011: Electricity Price.

Abstract

This dataset, compiled by NREL using data from ABB, the Velocity Suite and the U.S. Energy Information Administration dataset 861, provides average residential, commercial and industrial electricity rates with likely zip codes for both investor owned utilities (IOU) and non-investor owned utilities. Note: the files include average rates for each utility (not average rates per zip code), but not the detailed rate structure data found in the OpenEI U.S. Utility Rate Database.

The Utility Energy Registry (UER) is a database platform that provides streamlined public access to aggregated community-scale utility-reported energy data. The UER is intended to promote and facilitate community-based energy planning and energy use awareness and engagement. On April 19, 2018, the New York State Public Service Commission (PSC) issued the Order Adopting the Utility Energy Registry under regulatory CASE 17-M-0315. The order requires utilities under its regulation to develop and report community energy use data to the UER. This dataset includes electricity and natural gas usage data reported at the county level level collected under a data protocol in effect between 2016 and 2021. Other UER datasets include energy use data reported at the city, town, and village, and ZIP code level. Data collected after 2021 were collected according to a modified protocol. Those data may be found at https://data.ny.gov/Energy-Environment/Utility-Energy-Registry-Monthly-County-Energy-Use-/46pe-aat9. Data in the UER can be used for several important purposes such as planning community energy programs, developing community greenhouse gas emissions inventories, and relating how certain energy projects and policies may affect a particular community. It is important to note that the data are subject to privacy screening and fields that fail the privacy screen are withheld. The New York State Energy Research and Development Authority (NYSERDA) offers objective information and analysis, innovative programs, technical expertise, and support to help New Yorkers increase energy efficiency, save money, use renewable energy, and accelerate economic growth. reduce reliance on fossil fuels. To learn more about NYSERDA’s programs, visit nyserda.ny.gov or follow us on X, Facebook, YouTube, or Instagram.

This spreadsheet contains information reported by over 200 investor-owned utilities to the Federal Energy Regulatory Commission in the annual filing FERC Form 1 for the years 1994-2019. It contains 1) annual capital costs for new transmission, distribution, and administrative infrastructure; 2) annual operation and maintenance costs for transmission, distribution, and utility business administration; 3) total annual MWh sales and sales by customer class; 4) annual peak demand in MW; and 5) total customer count and the number of customers by class. Annual spending on new capital infrastructure is read from pages 204 to 207 of FERC Form 1, titled Electric Plant in Service. Annual transmission capital additions are recorded from Line 58, Column C - Total Transmission Plant Additions. Likewise, annual distribution capital additions are recorded from Line 75, Column C - Total Distribution Plant Additions. Administrative capital additions are recorded from Line 5, Column C - Total Intangible Plant Additions, and Line 99, Column C - Total General Plant Additions. Operation and maintenance costs associated with transmission, distribution, and utility administration are read from pages 320 to 323 of FERC Form 1, titled Electric Operation and Maintenance Expenses. Annual transmission operation and maintenance are recorded from Line 99, Column B - Total Transmission Operation Expenses for Current Year, and Line 111, Column B - Total Transmission Maintenance Expenses for Current Year. Likewise, annual distribution operation and maintenance costs are recorded from Line 144, Column B - Total Distribution Operation Expenses, and Line 155, Column B - Total Distribution Maintenance Expenses. Administrative operation and maintenance costs are recorded from: Line 164, Column B - Total Customers Accounts Expenses; Line 171, Column B - Total Customer Service and Information Expenses; Line 178, Column B - Total Sales Expenses; and Line 197, Column B - Total Administrative and General Expenses. The annual peak demand in MW over the year is read from page 401, titled Monthly Peaks and Output. The monthly peak demand is listed in Lines 29 to 40, Column D. The maximum of these monthly reports during each year is taken as the annual peak demand in MW. The annual energy sales and customer count data come from page 300, Electric Operating Revenues. The values are provided in Line 2 - Residential Sales, Line 4 - Commercial Sales, Line 5 - Industrial Sales, and Line 10 - Total Sales to Ultimate Consumers. More information about the database is available in an associated report published by the University of Texas at Austin Energy Institute: https://live-energy-institute.pantheonsite.io/sites/default/files/UTAustin_FCe_TDA_2016.pdf Also see an associated paper published in the journal Energy Policy: Fares, Robert L., and Carey W. King. "Trends in transmission, distribution, and administration costs for US investor-owned electric utilities." Energy Policy 105 (2017): 354-362. https://doi.org/10.1016/j.enpol.2017.02.036 All data come from the Federal Energy Regulatory Commission FERC Form 1 Database available in Microsoft Visual FoxPro Format: https://www.ferc.gov/docs-filing/forms/form-1/data.asp

United States Electric Retail Price: Sold by Electric Utilities: Avg: Residential data was reported at 12.890 USD/kWh in 2017. This records an increase from the previous number of 12.550 USD/kWh for 2016. United States Electric Retail Price: Sold by Electric Utilities: Avg: Residential data is updated yearly, averaging 7.565 USD/kWh from Dec 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 12.890 USD/kWh in 2017 and a record low of 2.200 USD/kWh in 1970. United States Electric Retail Price: Sold by Electric Utilities: Avg: Residential data remains active status in CEIC and is reported by Energy Information Administration. The data is categorized under Global Database’s United States – Table US.P011: Electricity Price.

Comprehensive dataset of 2,085 Electric utility companies in Japan as of July, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

This API provides data on U.S. consumption for electricity generation in Btu. Data organized by fuel type, i.e., coal, petroleum liquids, petroleum coke, and natural gas. Data also organized by sector, i.e., electric power, electric utility, commercial and industrial. Annual, quarterly, and monthly data available. Based on Form EIA-906, Form EIA-920, and Form EIA-923 data. Users of the EIA API are required to obtain an API Key via this registration form: http://www.eia.gov/beta/api/register.cfm

Comprehensive dataset of 90 Electric utility companies in State of Pará, Brazil as of July, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

Graph and download economic data for Employment for Utilities: Electric Power Generation, Transmission and Distribution (NAICS 2211) in the United States (IPUCN2211W200000000) from 1987 to 2024 about power transmission, distributive, utilities, electricity, NAICS, employment, and USA.

Japan Energy Consumption: Electric Utilities: TE: Electric Light data was reported at 25,764.581 kWh mn in Aug 2018. This records an increase from the previous number of 20,476.245 kWh mn for Jul 2018. Japan Energy Consumption: Electric Utilities: TE: Electric Light data is updated monthly, averaging 20,488.122 kWh mn from Jan 1989 (Median) to Aug 2018, with 356 observations. The data reached an all-time high of 34,081.790 kWh mn in Jan 2011 and a record low of 10,871.180 kWh mn in Jun 1989. Japan Energy Consumption: Electric Utilities: TE: Electric Light data remains active status in CEIC and is reported by Agency for Natural Resources and Energy. The data is categorized under Global Database’s Japan – Table JP.RB005: Energy Consumption.

In this article, the 3 sets of Real European test feeders: industrial which is integrated medium and low voltage, rural low voltage, and urban low voltage networks are proposed by using real data of GIS and smart meter readings obtained from a distribution company. The authors provide the real mathematical OpenDSS model of the three standards as master files with their corresponding real smart meter readings and topological data in database.

Each of the three proposed networks has different network features. The industrial network is comprised of both medium and low voltage areas with 2888 nodes, 777 buses, and 556 lines. It addresses 165 low voltage and 26 medium voltage industrial customers using 22 distribution transformers. In the rural network, there are 18599 nodes, 4650 buses, and 4291 lines to supply 2731 end customers. While 26951 nodes, 6738 buses, and 5905 lines are found in the urban network that electrifies 35297 low voltage customers. For rural and urban networks 68 distribution transformers are used in each of the networks to address their customers with both single and three phase systems.

The movement of decarbonization leads to comprise several advanced and smart devices at electricity society and enhancing the application demand response systems. Mainly, deployment of different flexible devices such as EV, heat pump, distribution generation in the distribution system takes the existing system to higher level of complication. Hence, that drives distribution grid system to enter to revolutionary transition which is digitalization of the system, to enable real time management of distribution system as it is undergoing through huge complexity. Such systems requires real mathematical model of distribution network therefore this three different test cases are developed. Majority of the existing test systems are synthetic and not representing the real system of the European network. In addition to being limited quantitative wise and for a specific problem solving, their is a lack of integrated real European testcase which incorporates both the low voltage and medium voltage networks. To fill the gap authors develop the test feeders that address industrial, rural and urban areas which is significantly important for researchers. Here, the corresponding OpenDSS model and demand profiles extracted from smart meters of each standards archived in their 'Master' and 'PQ_csv' folders, respectively. In addition, their topological data is provided in their associated databases. The detail description about the data set and all the development are contained in a paper with the same title of the dataset that it is under review and will be linked to this dataset.

United States Electric Retail Price: Sold by Electric Utilities: Avg: Commercial data was reported at 10.660 USD/kWh in 2017. This records an increase from the previous number of 10.430 USD/kWh for 2016. United States Electric Retail Price: Sold by Electric Utilities: Avg: Commercial data is updated yearly, averaging 7.230 USD/kWh from Dec 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 10.740 USD/kWh in 2014 and a record low of 2.100 USD/kWh in 1970. United States Electric Retail Price: Sold by Electric Utilities: Avg: Commercial data remains active status in CEIC and is reported by Energy Information Administration. The data is categorized under Global Database’s United States – Table US.P011: Electricity Price.

The Department of Energy Resources (DOER) tracks the number of electric and natural gas utility customers switching to competitive supply services. Now including Community Choice Electricity Aggregation (CCEA) data.