In 2022, the average end-use electricity price in the United States stood at around 12.2 U.S. cents per kilowatt-hour. This figure is projected to decrease in the coming three decades, to reach some 11 U.S. cents per kilowatt-hour by 2050.

Wholesale electricity prices in the United Kingdom hit a record-high in 2022, reaching **** British pence per kilowatt-hour that year. Projections indicate that prices are bound to decrease steadily in the next few years, falling under **** pence per kilowatt-hour by 2030.

Germany Electricity decreased 27.86 EUR/MWh or 24.07% since the beginning of 2025, according to the latest spot benchmarks offered by sellers to buyers priced in megawatt hour (MWh). This dataset includes a chart with historical data for Germany Electricity Price.

Electricity prices in Europe are expected to remain volatile through 2025, with Italy projected to have some of the highest rates among major European economies. This trend reflects the ongoing challenges in the energy sector, including the transition to renewable sources and the impact of geopolitical events on supply chains. Despite efforts to stabilize the market, prices in countries like Italy are forecast to reach ****** euros per megawatt hour by February 2025, indicating persistent pressure on consumers and businesses alike. Natural gas futures shaping electricity costs The electricity market's future trajectory is closely tied to natural gas prices, a key component in power generation. Dutch TTF gas futures, a benchmark for European natural gas prices, are projected to be ***** euros per megawatt hour in July 2025. The reduced output from the Groningen gas field and increased reliance on imports further complicate the pricing landscape, potentially contributing to higher electricity costs in countries like Italy. Regional disparities and global market influences While European electricity prices remain high, significant regional differences persist. For instance, natural gas prices in the United States are expected to be roughly one-third of those in Europe by March 2025, at **** U.S. dollars per million British thermal units. This stark contrast highlights the impact of domestic production capabilities on global natural gas prices. Europe's greater reliance on imports, particularly in the aftermath of geopolitical tensions and the shift away from Russian gas, continues to keep prices elevated compared to more self-sufficient markets. As a result, countries like Italy may face sustained pressure on electricity prices due to their position within the broader European energy market.

UK Electricity decreased 29.33 GBP/MWh or 28.63% since the beginning of 2025, according to the latest spot benchmarks offered by sellers to buyers priced in megawatt hour (MWh). This dataset includes a chart with historical data for the United Kingdom Electricity Price.

Dataset Description Title: Electricity Market Dataset for Long-Term Forecasting (2018–2024)

Overview: This dataset provides a comprehensive collection of electricity market data, focusing on long-term forecasting and strategic planning in the energy sector. The data is derived from real-world electricity market records and policy reports from Germany, specifically the Frankfurt region, a major European energy hub. It includes hourly observations spanning from January 1, 2018, to December 31, 2024, covering key economic, environmental, and operational factors that influence electricity market dynamics. This dataset is ideal for predictive modeling tasks such as electricity price forecasting, renewable energy integration planning, and market risk assessment.

Features Description Feature Name Description Type Timestamp The timestamp for each hourly observation. Datetime Historical_Electricity_Prices Hourly historical electricity prices in the Frankfurt market. Continuous (Float) Projected_Electricity_Prices Forecasted electricity prices (short, medium, long term). Continuous (Float) Inflation_Rates Hourly inflation rate trends impacting energy markets. Continuous (Float) GDP_Growth_Rate Hourly GDP growth rate trends for Germany. Continuous (Float) Energy_Market_Demand Hourly electricity demand across all sectors. Continuous (Float) Renewable_Investment_Costs Investment costs (capital and operational) for renewable energy projects. Continuous (Float) Fossil_Fuel_Costs Costs for fossil fuels like coal, oil, and natural gas. Continuous (Float) Electricity_Export_Prices Prices for electricity exports from Germany to neighboring regions. Continuous (Float) Market_Elasticity Sensitivity of electricity demand to price changes. Continuous (Float) Energy_Production_By_Solar Hourly solar energy production. Continuous (Float) Energy_Production_By_Wind Hourly wind energy production. Continuous (Float) Energy_Production_By_Coal Hourly coal-based energy production. Continuous (Float) Energy_Storage_Capacity Available storage capacity (e.g., batteries, pumped hydro). Continuous (Float) GHG_Emissions Hourly greenhouse gas emissions from energy production. Continuous (Float) Renewable_Penetration_Rate Percentage of renewable energy in total energy production. Continuous (Float) Regulatory_Policies Categorical representation of regulatory impact on electricity markets (e.g., Low, Medium, High). Categorical Energy_Access_Data Categorization of energy accessibility (Urban or Rural). Categorical LCOE Levelized Cost of Energy by source. Continuous (Float) ROI Return on investment for energy projects. Continuous (Float) Net_Present_Value Net present value of proposed energy projects. Continuous (Float) Population_Growth Population growth rate trends impacting energy demand. Continuous (Float) Optimal_Energy_Mix Suggested optimal mix of renewable, non-renewable, and nuclear energy. Continuous (Float) Electricity_Price_Forecast Predicted electricity prices based on various factors. Continuous (Float) Project_Risk_Analysis Categorical analysis of project risks (Low, Medium, High). Categorical Investment_Feasibility Indicator of the feasibility of energy investments. Continuous (Float) Use Cases Electricity Price Forecasting: Utilize historical and projected price trends to predict future electricity prices. Project Risk Classification: Categorize projects into risk levels for better decision-making. Optimal Energy Mix Analysis: Analyze the balance between renewable, non-renewable, and nuclear energy sources. Policy Impact Assessment: Study the effect of regulatory and market policies on energy planning. Long-Term Strategic Planning: Provide insights into investment feasibility, GHG emission reduction, and energy market dynamics. Acknowledgment This dataset is based on publicly available records and market data specific to the Frankfurt region, Germany. The dataset is designed for research and educational purposes in energy informatics, computational intelligence, and long-term forecasting.

Forward markets are believed to aggregate information about future spot prices and reduce the cost of producing the commodity. We develop a measure of the extent to which forward and spot prices agree in markets with transaction costs. Using this measure, we show that day-ahead prices better reflect real-time prices at all locations in California's electricity market after the introduction of financial trading. We then present evidence suggesting that operating costs and input fuel use fell after the introduction of financial trading on days when the nonconvexities inherent to the production and transmission of electricity are especially relevant.

“Imagine having access to a treasure trove of information about European energy markets! This dataset provides hourly updates on power prices across various systems. Researchers, academics, and industry experts can dive into this wealth of data to uncover correlations between different energy systems, track price fluctuations, and gain a deeper understanding of the intricate dynamics at play. It’s like having a crystal ball for economic trends in the region, helping us anticipate future energy pricing.”

Factual Context:

European energy markets are highly dynamic due to factors such as renewable energy integration, supply-demand balance, and geopolitical influences. Hourly updates allow for real-time analysis, which is crucial for decision-making. Understanding price fluctuations helps stakeholders optimize energy procurement and investment strategies. Economic trends in the region impact energy pricing, making this dataset valuable for informed decision-making. Feel free to explore this dataset further—it’s a goldmine for anyone interested in energy economics! 😊

https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F8127972%2F3f193d4b8d7051a7c1dac1f320906b52%2FON-DE793_201909_G_20190830121038.gif?generation=1714481809051621&alt=media" alt="">

This dataset provides values for ELECTRICITY PRICE reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

The average wholesale electricity price in August 2025 in the United Kingdom is forecast to amount to*******British pounds per megawatt-hour, a decrease from the previous month. A record high was reached in August 2022 when day-ahead baseload contracts averaged ***** British pounds per megawatt-hour. Electricity price stabilization in Europe Electricity prices increased in 2024 compared to the previous year, when prices stabilized after the energy supply shortage. Price spikes were driven by the growing wholesale prices of natural gas and coal worldwide, which are among the main sources of power in the region.

… and in the United Kingdom? The United Kingdom was one of the countries with the highest electricity prices worldwide during the energy crisis. Since then, prices have been stabilizing, almost to pre-energy crisis levels. The use of nuclear, wind, and bioenergy for electricity generation has been increasing recently. The fuel types are an alternative to fossil fuels and are part of the country's power generation plans going into the future.

The objective of the project was to provide econometric analysis and theory for modelling energy and soft commodity prices. This necessitated data analysis and modelling together with theoretical econometrics, dealing with the specific stylised facts of commodity prices. In order to analyse energy and soft commodity prices, the determination of spot energy prices in regulated markets was first considered, from the point of view of the regulator. Direct data analysis of futures commodity prices was then undertaken, resulting in the collection of an extensive dataset of most traded futures commodity prices at a daily frequency, covering 16 different commodities over a 10-year period.

Canada’s Energy Future 2021: Energy Supply and Demand Projections to 2050 (EF2021) is the latest long-term energy outlook from the Canada Energy Regulator (CER). The Canada’s Energy Future series explores how possible energy futures might unfold for Canadians over the long term. We use economic and energy models to make these projections. The CER bases our projections on assumptions about future trends in technology, energy and climate policies, energy markets, human behaviour, and the structure of the economy. EF2021 includes two core scenarios: The Evolving Policies Scenario and the Current Policies Scenario. The central difference between these scenarios is the level of future climate action, both globally and domestically. In both scenarios we provide projections for all energy commodities and all provinces and territories. EF2021 also includes six additional electricity scenarios that explore what Canada’s electricity system might look like in a net-zero world. These scenarios focus only on how Canada will meet given electricity demands under different conditions, and do not include projections for other energy commodities. Electricity is an important contributor to achieving net-zero emissions, so these projections are an important step in modeling related to a net-zero energy system in the Canada’s Energy Future series.

Italy Electricity decreased 25.16 EUR/MWh or 18.27% since the beginning of 2025, according to the latest spot benchmarks offered by sellers to buyers priced in megawatt hour (MWh). This dataset includes a chart with historical data for Italy Electricity Price.

Electricity prices in Germany are forecast to amount to ***** euros per megawatt-hour in August 2025. Electricity prices in the country have not yet recovered to pre-pandemic levels. Electricity price recovery German electricity prices began recovering back to pre-energy crisis levels in 2024, a period driven by a complex interplay of factors, including increased heating demand, reduced wind power generation, and water scarcity affecting hydropower production. Despite Germany's progress in renewable energy sources, with over ** percent of gross electricity generated from renewable sources in 2023, the country still relies heavily on fossil fuels. Coal and natural gas accounted for approximately ** percent of the energy mix, making Germany vulnerable to fluctuations in global fuel prices. Impact on consumers and future outlook The volatility in electricity prices has directly impacted German consumers. As of April 1, 2024, households with basic supplier contracts were paying around ** cents per kilowatt-hour, making it the most expensive option compared to other providers or special contracts. The breakdown of household electricity prices in 2023 showed that supply and margin, along with energy procurement, constituted the largest controllable components, amounting to **** and **** euro cents per kilowatt-hour, respectively. While prices have decreased since the 2022 peak, they remain higher than pre-crisis levels, underscoring the ongoing challenges in Germany's energy sector as it continues its transition towards renewable sources.

Given the key role of renewable energies in current and future electricity markets, it is important to understand how they affect firms' pricing incentives in these markets. In this paper, we study whether renewables depress electricity market prices, and how this effect depends on their degree of market price exposure. Our theoretical analysis shows that paying renewables with fixed prices, rather than with market-based prices, is relatively more effective at curbing market power when the dominant electricity firms own large shares of the renewable capacity, and vice-versa. To test this prediction, our empirical analysis leverages several short-lived changes to renewable energy pricing mechanisms in the Spanish electricity market. In this context, we find that the switch from full price exposure to fixed prices caused a 2-4% reduction in the average price-cost markup.

Abstract copyright UK Data Service and data collection copyright owner. The objective of the project was to provide econometric analysis and theory for modelling energy and soft commodity prices. This necessitated data analysis and modelling together with theoretical econometrics, dealing with the specific stylised facts of commodity prices. In order to analyse energy and soft commodity prices, the determination of spot energy prices in regulated markets was first considered, from the point of view of the regulator. Direct data analysis of futures commodity prices was then undertaken, resulting in the collection of an extensive dataset of most traded futures commodity prices at a daily frequency, covering 16 different commodities over a 10-year period. Main Topics: The commodities covered include electricity, oil, gas and other commodities, including coffee, cocoa, sugar, cereal and pulse crops. Other energy utility company details are also included in the data.

Electricity Trading Market Outlook

The global electricity trading market size was valued at approximately $X billion in 2023 and is projected to reach around $X billion by 2032, growing at a compound annual growth rate (CAGR) of X.X% from 2024 to 2032. This growth is driven by rising demand for energy, advancements in smart grid technologies, and the increasing penetration of renewable energy sources.

One of the primary growth factors in the electricity trading market is the global shift towards renewable energy sources. As nations strive to reduce their carbon footprints, the integration of renewable energy into the grid has become a critical strategy. This has created a complex and dynamic electricity market, where trading becomes essential for balancing supply and demand. Furthermore, the development of energy storage technologies like batteries is enhancing the reliability and efficiency of renewable energy, making it more viable and attractive for trading.

Another significant growth factor is the advancement in smart grid and digital technologies. The implementation of smart meters, IoT devices, and advanced analytics allows for real-time monitoring and management of energy consumption and distribution. These technologies facilitate more efficient electricity trading by providing accurate data and insights, enabling market participants to make informed decisions. Additionally, blockchain technology is being explored for its potential to create transparent and secure trading platforms, further driving the market's growth.

The deregulation and liberalization of electricity markets in various regions have also contributed to the growth of electricity trading. By breaking down monopolistic structures and allowing multiple players to participate in the market, competition is enhanced, leading to better pricing and innovation. This deregulation is particularly evident in regions like North America and Europe, where policies have been enacted to encourage market-based electricity systems, fostering a conducive environment for electricity trading.

From a regional perspective, the Asia Pacific region is expected to witness significant growth in the electricity trading market. The region's rapid industrialization, urbanization, and economic growth are driving increased energy consumption. Moreover, countries like China and India are heavily investing in renewable energy projects and modernizing their grid infrastructure to support efficient electricity trading. The strong policy support and government incentives in these countries further bolster the market's expansion in the region.

Type Analysis

Electricity trading by type can be segmented into Day-Ahead Trading, Intraday Trading, and Forward Trading. Day-Ahead Trading involves buying and selling electricity one day before the actual delivery. This type of trading allows market participants to plan their electricity needs and manage their portfolios effectively. The growth of renewable energy sources, which are often intermittent, has increased the importance of Day-Ahead Trading for balancing supply and demand. Furthermore, advancements in forecasting technologies are improving the accuracy of day-ahead market predictions, making this segment more reliable and attractive.

Intraday Trading, on the other hand, occurs within the same day of delivery and provides a mechanism for market participants to manage unexpected changes in electricity supply or demand. This type of trading is becoming increasingly vital as the share of renewable energy grows, given its variability. The need for real-time adjustments in electricity trading to accommodate fluctuations in renewable energy generation is driving the growth of the Intraday Trading segment. Additionally, the rise of digital platforms and automation tools is facilitating quicker and more efficient intraday market transactions.

Forward Trading involves contracts for the purchase or sale of electricity for future delivery, ranging from months to years ahead. This segment is essential for hedging against price volatility and ensuring long-term price stability. Utilities and large industrial consumers often engage in forward contracts to secure their future electricity needs at predetermined prices. The increasing trend of long-term power purchase agreements (PPAs) with renewable energy providers is also boosting the growth of the Forward Tra

Spain Electricity decreased 105.23 EUR/MWh or 77.45% since the beginning of 2025, according to the latest spot benchmarks offered by sellers to buyers priced in megawatt hour (MWh). This dataset includes a chart with historical data for Spain Electricity Price.

Corresponding paper: O. Schmidt, A. Hawkes, A. Gambhir & I. Staffell. The future cost of electrial energy storage based on experience rates. Nat. Energy 2, 17110 (2017).Link to the paper: http://dx.doi.org/10.1038/nenergy.2017.110This dataset compiles cumulative capacity and product price data for electrical energy storage technologies, including the respective regression parameters to construct experience curves. Please see the paper for a full discussion on experience curves for electrical energy storage technologies and associated analyses on future cost, cumulative investment requirements and economic competitiveness of storage.The dataset also presents the underlying data for Figures 1 to 5 and Supplementary Figures 2 and 3 of the paper.

The system marginal price refers to the electricity market price (KRW/kWh) for the amount of electricity applied by trading hour, and you can search for the system marginal price information by hour, divided into the mainland and Jeju regions. ㅇ Note 1: The trading time 0:00 of the API indicates the period starting immediately after 0:00 and ending at 01:00. ㅇ Note 2: The API will be deleted in the future, and we recommend using the Korea Power Exchange_System Marginal Price and Demand Forecast (for one-day-ahead power generation plan) API. ㅇ Updated to OPENAPI User Guide v1.5 on 2024.11.29