Users can generate reports showing the amount of energy consumed by geographical area, sector (residential, commercial, industrial) classifications. The database also provides easy downloading of energy consumption data into the comma-separated values (CSV) file format.

Infrastructure industries-including telecommunications, electricity, water, and gas-underwent massive structural changes in the 1990s. During that decade, hundreds of privatization transactions valued at billions of dollars were completed in these sectors in developing and transition economies. While privatization has received the most attention, reforms also included market liberalization, structural changes like unbundling, and the introduction of new laws and regulations. To date, regulations have received far less attention than their potential economic effects warrant, largely due to lack of data. In order to address this problem, the authors set out to compile a comprehensive and consistent dataset through an extensive survey of telecommunications and electricity regulators in developing countries. The authors describe the surveys and the resulting database. The database of telecommunications regulations includes 178 variables on regulatory governance and content in 45 countries. The database of electricity regulations includes 374 variables in 20 countries.

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.

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).

This API provides data on U.S. electricity generation by fuel type, i.e., coal, petroleum, natural gas, nuclear, hydroelectric, wind, solar, geothermal, and wood. Data also organized by sector, i.e., electric power, electric utility, commerical 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

Electricity Net Generation: Industrial: Wood data was reported at 2,491.810 kWh mn in Jul 2018. This records an increase from the previous number of 2,374.562 kWh mn for Jun 2018. Electricity Net Generation: Industrial: Wood data is updated monthly, averaging 2,294.782 kWh mn from Jan 1989 (Median) to Jul 2018, with 355 observations. The data reached an all-time high of 3,568.952 kWh mn in Jan 1994 and a record low of 1,091.004 kWh mn in May 1992. Electricity Net Generation: Industrial: Wood data remains active status in CEIC and is reported by Energy Information Administration. The data is categorized under Global Database’s USA – Table US.RB067: Electricity Overview.

Electricity End Use: Retail Sales: Transportation data was reported at 648.000 kWh mn in Sep 2018. This records a decrease from the previous number of 686.000 kWh mn for Aug 2018. Electricity End Use: Retail Sales: Transportation data is updated monthly, averaging 413.583 kWh mn from Jan 1973 (Median) to Sep 2018, with 549 observations. The data reached an all-time high of 768.983 kWh mn in Jan 2009 and a record low of 215.191 kWh mn in Apr 1978. Electricity End Use: Retail Sales: Transportation 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.RB067: Electricity Overview.

Electricity Demand Dataset

This dataset compiles and harmonizes multiple open smart meter datasets.

Curated by: Attila Balint License: BSD 3-clause "New" or "Revised" licence

  Uses

This smart meter dataset facilitates primarily electricity demand forecasting.

  Dataset Structure

The dataset contains three main files.

data/demand.parquet data/metadata.parquet data/weather.parquet

  data/demand.parquet

This file contains the electricity consumption… See the full description on the dataset page: https://huggingface.co/datasets/EDS-lab/electricity-demand.

Following an Order Instituting Rulemaking initiated in October 2005, amendments adopted by the Energy Commission and approved by California's Office of Administrative Law in July 2007 created two articles: Article 1, known as Quarterly Fuel and Energy Report (QFER) directed at current California energy information, and Article 2 directed at the forecast and assessment of energy loads and resources. The regulations under QFER provide for the collection of energy data relating to electric generation, control area exchanges, and natural gas processing and deliveries. The reports are submitted on forms specified by the Energy Commission's executive director. The statistics presented here are derived from the QFER CEC-1304 Power Plant Owner Reporting Form. The CEC-1304 reporting form collects data from power plants with a total nameplate capacity of 1MW or more that are located within California or within a control area with end users inside California. The information includes gross generation, net generation, fuel use by fuel type for each generator, as well as total electricity consumed on site and electricity sales for the plant as a whole. Power plants with nameplate capacity of 20 megawatts or more also provide environmental information related to water supply and water/wastewater discharge. Database and Source Files updated: June 07, 2017

In 2022, traditional data centers accounted for a power demand of 345 terawatt-hours, while the electricity used by artificial intelligence data centers was close to zero. By 2026, AI data centers demand is forecast to grow to 90 terawatt-hours. By 2026, the overall electricity demand from traditional and AI data centers and cryptocurrencies is forecast to range between 620 and 1050 terawatt-hours, depending on the scenario.

Electric Power Sector: Stocks: Coal data was reported at 100,717.000 Short Ton th in Sep 2018. This records a decrease from the previous number of 104,138.000 Short Ton th for Aug 2018. Electric Power Sector: Stocks: Coal data is updated monthly, averaging 143,424.000 Short Ton th from Jan 1973 (Median) to Sep 2018, with 549 observations. The data reached an all-time high of 203,765.023 Short Ton th in Nov 2009 and a record low of 77,016.045 Short Ton th in Mar 1978. Electric Power Sector: Stocks: Coal 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.RB067: Electricity Overview.

In 2022, the global electricity consumption from data centers, artificial intelligence, and cryptocurrencies amounted to 460 terawatt-hours. By 2026, this figure will range between 620 and 1,050 terawatt-hours, depending on the future deployment of these technologies. Data centers, AI, and crypto will then account for a large share of the global electricity consumption, up from only some two percent in 2022.

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.

According to a 2024 forecast, global electricity consumption of data centers was projected to grow from 330 terawatt-hours in 2022 to over one petawatt-hour in 2030. This would represent around 3.7 percent of the total electricity consumption worldwide by the end of the period under consideration. Artificial intelligence accounted for around 4.5 percent of the data centers' electricity consumption in 2023. This figure is projected to grow over the next five years.

NREL has assembled a list of U.S. retail electricity tariffs and their associated demand charge rates for the Commercial and Industrial sectors. The data was obtained from the Utility Rate Database. Keep the following information in mind when interpreting the data: (1) These data were interpreted and transcribed manually from utility tariff sheets, which are often complex. It is a certainty that these data contain errors, and therefore should only be used as a reference. Actual utility tariff sheets should be consulted if an action requires this type of data. (2) These data only contains tariffs that were entered into the Utility Rate Database. Since not all tariffs are designed in a format that can be entered into the Database, this list is incomplete - it does not contain all tariffs in the United States. (3) These data may have changed since this list was developed (4) Many of the underlying tariffs have additional restrictions or requirements that are not represented here. For example, they may only be available to the agricultural sector or closed to new customers. (5) If there are multiple demand charge elements in a given tariff, the maximum demand charge is the sum of each of the elements at any point in time. Where tiers were present, the highest rate tier was assumed. The value is a maximum for the year, and may be significantly different from demand charge rates at other times in the year. Utility Rate Database: https://openei.org/wiki/Utility_Rate_Database

The supply of electricity to data centres increased by 66 percent over a period of two years. In 2017, 1.6 billion kilowatt-hours (kWh) was supplied to data centres in the Netherlands. This had increased to 2.7 billion kWh in 2019. The growth is mainly due to data centres becoming larger. This is reported by Statistics Netherlands (CBS) based on data from network operators.

Electricity Net Generation: EP: Fossil Fuels (FF) data was reported at 166,741.619 kWh mn in Apr 2018. This records a decrease from the previous number of 177,760.467 kWh mn for Mar 2018. Electricity Net Generation: EP: Fossil Fuels (FF) data is updated monthly, averaging 178,948.662 kWh mn from Jan 1973 (Median) to Apr 2018, with 544 observations. The data reached an all-time high of 309,066.965 kWh mn in Aug 2007 and a record low of 106,034.498 kWh mn in Apr 1975. Electricity Net Generation: EP: Fossil Fuels (FF) data remains active status in CEIC and is reported by Energy Information Administration. The data is categorized under Global Database’s USA – Table US.RB067: Electricity Overview.

This data set contains electric power usage for the DOT Headquarters building.

Electricity Consumption: Domestic: Distribution Compensation data was reported at 917.627 GWh in Nov 2018. This records an increase from the previous number of 806.961 GWh for Oct 2018. Electricity Consumption: Domestic: Distribution Compensation data is updated monthly, averaging 655.810 GWh from Sep 2006 (Median) to Nov 2018, with 147 observations. The data reached an all-time high of 1,060.269 GWh in Dec 2017 and a record low of 357.396 GWh in Jun 2007. Electricity Consumption: Domestic: Distribution Compensation data remains active status in CEIC and is reported by Electricity System Commercial Operator. The data is categorized under Global Database’s Georgia – Table GE.RB001: Electricity Supply and Consumption.