Graph and download economic data for Global price of Energy index (PNRGINDEXM) from Jan 1992 to Jun 2025 about energy, World, indexes, and price.

This API provides state-level and national-level energy prices and expenditures. Data organized by major economic sectors. EIA's State Energy Data System (SEDS) is a comprehensive data set that consists of annual time series estimates of state-level energy use by major economic sectors, energy production and State-level energy price and expenditure data. The system provides data back from 1960. Data are presented in physical units, Btu, and dollars. Users of the EIA API are required to obtain an API Key via this registration form: http://www.eia.gov/beta/api/register.cfm

Total estimated annual dollar value of utility discounts for businesses approved for ECSP benefits during the fiscal year.

EIA's State Energy Data System (SEDS) is a comprehensive data set that consists of annual time series estimates of state-level energy use by major economic sectors, energy production and and State-level energy price and expenditure data. The system provides data back from 1960. Data are presented in physical units, BTUs, and dollars. While some SEDS data series come directly from surveys conducted by EIA, many are estimated using other available information. These estimations are necessary for the compilation of "total energy" estimates.

Description

**It is presented two datasets used to train a neural network that forecasts electricity prices in the Yucatan peninsula. The first one is the Input data, which is composed of five parameters, three describing environmental conditions and two reporting the levels of operation of the electricity system in the study region. The second is the output data, corresponding to local marginal electricity prices. These prices are compound from the next three costs: energy, losses of transmission, and congestion. **

**Also, these data allow detecting the dynamics of the electricity market, which can be related to environmental conditions. Also, they allow detecting phenomena of the electricity market, i.e. negative prices of transmission losses or congestion, and the negative merit-order effect. **

**Every parameter was collected for eight load zones in hourly resolution, it is the geographic distribution according to the Mexican independent system operator. The data begins in the first hour of January 1st of 2017 and ends in the last hour of April 4th of 2019. Each parameter has 157808 observations. **

Raw table of ordered explanatory variables with autoregressive elements already calculated. This table was used to train the GBRT. Also the prediction results and the partial dependence analysis are provided.

This API provides state-level and national-level energy consumption data. Data organized by major economic sectors. EIA's State Energy Data System (SEDS) is a comprehensive data set that consists of annual time series estimates of state-level energy use by major economic sectors, energy production and and State-level energy price and expenditure data. The system provides data back from 1960. Data are presented in physical units, Btu, and dollars. 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 prices for businesses amounted to *** cents per kilowatt-hour on the U.S. dollar in China in June 2024. Business electricity prices decreased in the country from over **** cents per kilowatt-hour in June 2020. Household electricity in China was cheaper, amounting to *** cents per kilowatt-hour in March 2024. Overhauling price calculation Since its liberalization of the state electricity market, the National Development and Reform Commission introduced an overhaul of the electricity pricing model in mid-2023. Based on the premise of “cost plus reasonable profit” the reforms were aimed at introducing fairer and more transparent rates while also promoting more efficient utilization of the electricity grid. In the new system, businesses enjoy lower electricity rates if they use higher voltages, reflecting a more accurate distribution of grid utilization costs. Competition in industrial policy For many years, the Chinese government has been accused of using subsidized electricity prices to give domestic companies an advantage on the world market. In the EV race, they come up again. To accelerate the industrialization of the country, policymakers have set up ambitious development goals and created the necessary framework to achieve them. For instance, electric battery manufacturers could utilize significant government support. However, often, subsidies like preferential electricity prices are difficult to prove, and in response to European and American accusations, Beijing points to the Inflation Reduction Act in the U.S. and similar subsidy programs in the European Union.

The system marginal price (SMP) for electricity in South Korea stood at around ******South Korean won per kilowatt-hour as of March 2025. The South Korean government introduced the SMP ceiling system at the end of 2022, which limits the wholesale price at which Korea Electric Power Corporation (KEPCO) purchases electricity from power generation companies to protect energy consumers during times of price fluctuations. KEPCO is a public institution responsible for the distribution of electricity in South Korea. In the last 10 years, electricity consumed per capita in South Korea has seen a steady increase. Sustainable energy sources in South Korea South Korea imports over ** percent of its energy, which primarily originates from fossil fuels. But as demand continues to rise, the country needs to look for more sustainable options for residents to maintain the same standard of living. One such option is solar energy. Indeed, the government has already invested in solar energy, newly installing multiple megawatts worth of solar power generators yearly. Private solar power installations in South Korea The amount of solar power for private use in South Korea is likely to rise as more people look toward installing their own solar panels to meet their energy needs. Panels that can be attached to the outside railings of apartments as well as on building rooftops are available for private installation. The government has encouraged these efforts through subsidies.

This API contains state-level and national-level data on energy production. EIA's State Energy Data System (SEDS) is a comprehensive data set that consists of annual time series estimates of state-level energy production by major economic sectors, energy production and State-level energy price and expenditure data. The system provides data back from 1960. Data are presented in physical units, Btu, and dollars. Users of the EIA API are required to obtain an API Key via this registration form: http://www.eia.gov/beta/api/register.cfm

The Department of Energy's Loan Programs-administered by LPO-enable DOE to work with private companies and lenders to mitigate the financing risks associated with clean energy projects, and thereby encourage their development on a broader and much-needed scale. The Loan Programs consist of three separate programs managed by two offices, the Loan Guarantee Program Office (LGP) and the Advanced Technology Vehicles Manufacturing Loan Program Office. LPO originates, guarantees, and monitors loans to support clean energy projects through these programs. The programs are: Section 1703: Under Section 1703 of Title XVII, DOE LGP is authorized to guarantee loans for projects that employ new or significantly improved energy technologies and avoid, reduce or sequester air pollutants or greenhouse gases. Section 1705: Under Section 1705 of Title XVII, added by the American Reinvestment and Recovery Act (ARRA), DOE LGP is authorized to guarantee loans for certain clean energy projects that commenced construction on or before September 30, 2011. The Section 1705 program expired, pursuant to statute, on September 30, 2011 and will actively monitor projects that previously received loan guarantees under the 1705 program. LPO will no longer issue new loan guarantees under the 1705 program. Advanced Technology Vehicles Manufacturing (ATVM): Under Section 136 of the Energy Independence and Security Act of 2007, DOE is authorized to provide direct loans to finance advanced vehicle technologies.

The price data for four regions (CAISO, ERCOT, MISO-W, and PJM-W) are developed using the ReEDS to PLEXOS conversion as described in (Gagnon et al. 2020). The reference ReEDS case chosen is based on the 2020 Standard Scenario Mid-case, which uses the 2020 ReEDS model version (Cole et al. 2020; Ho et al. 2021). All ReEDS model inputs use 2020 Standard Scenarios Mid-case assumptions except for CO2 prices, which are implemented as linearly increasing CO2 price trajectories beginning at $0/tCO2 in 2020 and ending at either $100/tCO2 or $150/tCO2 in 2035 to dive capacity expansion towards a low-carbon system that could support CCS deployment. However, these scenarios also prohibit CCS deployment in this time frame so that resulting price data are not influenced by the deployment and operation of CCS itself. Implementing the ReEDS to PLEXOS conversion tool, PLEXOS is then simulated using the 2035 ReEDS infrastructure for both CO2 price scenarios, with the following model version and setup: PLEXOS Version: 8.2 Solver: Xpress-MP 35.01.01 Mixed integer optimization relative gap 1% System configuration: Total number of nodes: 134 (consistent with ReEDS balancing areas) Line losses enforced using piecewise linear approximation Energy dump was enabled Price data is aggregated to the ISO/RTO level using load-weighted averages. References: Cole, Wesley, Sean Corcoran, Nathaniel Gates, Daniel Mai, Trieu, and Paritosh Das. 2020. “2020 Standard Scenarios Report: A U.S. Electricity Sector Outlook.” NREL/TP-6A20-77442. Golden, CO: National Renewable Energy Laboratory. https://www.nrel.gov/docs/fy21osti/77442.pdf. Gagnon, Pieter, Will Frazier, Elaine Hale, and Wesley Cole. 2020. “Cambium Documentation: Version 2020.” NREL/TP-6A20-78239. National Renewable Energy Lab. (NREL), Golden, CO (United States). https://doi.org/10.2172/1734551. Ho, Jonathan, Jonathon Becker, Maxwell Brown, Patrick Brown, Ilya (ORCID:0000000284917814) Chernyakhovskiy, Stuart Cohen, Wesley (ORCID:000000029194065X) Cole, et al. 2021. “Regional Energy Deployment System (ReEDS) Model Documentation: Version 2020.” NREL/TP-6A20-78195. Golden, CO: National Renewable Energy Laboratory. https://doi.org/10.2172/1788425.

Wholesale Energy Spot Market: Scarcity Price data was reported at 724.310 COP/kWh in 12 May 2025. This stayed constant from the previous number of 724.310 COP/kWh for 11 May 2025. Wholesale Energy Spot Market: Scarcity Price data is updated daily, averaging 751.310 COP/kWh from Jan 2020 (Median) to 12 May 2025, with 1959 observations. The data reached an all-time high of 1,037.230 COP/kWh in 30 Aug 2022 and a record low of 303.840 COP/kWh in 29 Jun 2020. Wholesale Energy Spot Market: Scarcity Price data remains active status in CEIC and is reported by XM Compañía de Expertos en Mercados S.A. E.S.P.. The data is categorized under Global Database’s Colombia – Table CO.P001: Wholesale Energy Market Price. The Colombian Energy Exchange, managed by XM, in which generators and traders participate, selling and buying energy at the exchange price, has a ceiling price for the sale of energy called scarcity price, which corresponds to the maximum value that the country's demand can pay for energy. This price is calculated monthly according to the calculations established in the regulation that defines the reliability charge scheme. The scarcity price is determined according to the variable costs associated with the SIN (Sistema Interconectado Nacional) and the price of the fuel

Jobs Created by Energy Cost Savings Program Savings for Businesses

Brent