According to a recent forecast, global electricity consumption will range between ****** and ****** terawatt-hours in 2030 and between ****** and ****** terawatt-hours in 2050, depending on the energy transition scenario. However, to keep the global temperature increase below *** degrees Celsius, the total electricity consumption in the world should be at ****** terawatt-hours in 2030, a result that is not likely to be achieved even if the current energy transition commitments are achieved (Achieved Commitments scenario).
France plans to decrease its final energy consumption from over *** petawatt-hours in 2021 to approximately *** petawatt-hours in 2030. According to the country's 2030 energy transition targets, fossil fuels will still account for ** percent of the final energy consumed in France in 2030, down from over ** percent in 2021.
The global industrial sector uses more natural gas than any other type of fuel, consuming nearly 64 quadrillion British thermal units in 2022. The use of renewables is expected to almost double between 2022 and 2050, as the levelized cost for renewable energy technologies, such as wind and solar power, decreases. Global energy consumption outlook Global consumption of energy for industrial purposes is predicted to reach over 336 quadrillion British thermal units in 2050. Rising demand follows a trend of rising projected global energy consumption across all sectors until at least 2045. Despite the relative increase in renewable energy, it is expected that the overall demand for fossil fuels will continue growing. Gas will dominate the global industrial energy consumption over the next few decades. U.S. energy use by sector Since the 1970s, the industrial sector has been the largest consumer of energy in the United States. Transportation and commercial consumption have recorded the largest increase over the past 50 years, with consumption by the commercial sector nearly doubling since 1975. Primary energy consumption from fossil fuel sources in the U.S. is highest in the transportation sector.
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Forecast: Energy Consumption in Services in Thailand 2023 - 2027 Discover more data with ReportLinker!
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Forecast: Energy Consumption in Transport in Germany 2023 - 2027 Discover more data with ReportLinker!
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Forecast: Primary Energy Consumption in the US 2023 - 2027 Discover more data with ReportLinker!
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Forecast: Renewable Energy Consumption in North America 2024 - 2028 Discover more data with ReportLinker!
Global electricity consumption was forecast to reach ** petawatt-hours by 2030, a growth driven by the electrification trend across the transportation sector, residential and commercial activities and buildings, and industrial sector. Electricity consumption worldwide was around ** petawatt-hours in 2022.
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More accurate forecasts of building energy consumption mean better planning and more efficient energy use. So The objective is to forecast energy consumption from following data: (For each data set, several test periods over which a forecast is required will be specified.)
A selected time series of consumption data for over 260 buildings.
-obs_id - An arbitrary ID for the observationaa -SiteId - An arbitrary ID number for the building, matches across datasets -ForecastId - An ID for a timeseries that is part of a forecast (can be matched with the submission file) -Timestamp - The time of the measurement -Value - A measure of consumption for that building
Additional information about the included buildings.
-SiteId - An arbitrary ID number for the building, matches across datasets -Surface - The surface area of the building -Sampling - The number of minutes between each observation for this site. The timestep size for each ForecastId can be found in the separate "Submission Forecast Period" file on the data download page. -BaseTemperature - The base temperature for the building -IsDayOff - True if DAY_OF_WEEK is not a work day
This dataset contains temperature data from several stations near each site. For each site several temperature measurements were retrieved from stations in a radius of 30 km if available. Note: Not all sites will have available weather data.
Note: Weather data is available for test periods under the assumption that reasonably accurate forecasts will be available to algorithms that the time that we are attempting to make predictions about the future.
-SiteId - An arbitrary ID number for the building, matches across datasets -Timestamp - The time of the measurement -Temperature - The temperature as measured at the weather station -Distance - The distance in km from the weather station to the building in km
Public holidays at the sites included in the dataset, which may be helpful for identifying days where consumption may be lower than expected.Note: Not all sites will have available public holiday data.
-SiteId - An arbitrary ID number for the building, matches across datasets -Date - The date of the holiday -Holiday - The name of the holiday
Forecasting energy consumption data published by Schneider Electric.
Three time horizons and time steps are distinguished for more than 260 building sites are provided. The goal is either:
Historical data are given at the granularity that is required for the consumption forecast. So, when historical data are given by steps of 15 minutes, forecasts are required by steps of 15 minutes. When historical data are given by steps of 1 hour, forecasts are required by steps of 1 hour. When historical data are given by steps of 1 day, forecasts are required by steps of 1 day.
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This dataset is the United States Renewable Energy Consumption by Sector and Source, part of the U.S. Energy Information Administration's (EIA's) Annual Energy Outlook (AEO) that highlights changes in the AEO Reference case projections for key energy topics. The Annual Energy Outlook presents a projection and analysis of US energy supply, demand, and prices several decades into the future. The projections are based on results from the EIA's National Energy Modeling System.
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United States EIA Forecast: Electricity Consumption: Retail Sales: Commercial data was reported at 3.541 kWh/Day bn in Dec 2019. This records an increase from the previous number of 3.504 kWh/Day bn for Nov 2019. United States EIA Forecast: Electricity Consumption: Retail Sales: Commercial data is updated monthly, averaging 3.601 kWh/Day bn from Mar 2016 (Median) to Dec 2019, with 46 observations. The data reached an all-time high of 4.286 kWh/Day bn in Aug 2019 and a record low of 3.400 kWh/Day bn in Apr 2018. United States EIA Forecast: Electricity Consumption: Retail Sales: 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.RB069: Electricity Supply and Consumption: Forecast: Energy Information Administration.
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Forecast: Renewable Energy Consumption in Germany 2024 - 2028 Discover more data with ReportLinker!
In the next two decades, natural gas and petroleum products are expected to be the main sources of final energy consumption in the United Kingdom. By 2040, natural gas demand is forecast to reach ** million metric tons of oil equivalent, up from **** in 2023. The final consumption of electricity in the UK is expected to grow by ** percent between 2023 and 2040, whereas the final consumption of energy from renewable sources is forecast to grow until 2030 but then decrease.
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Renewable energy consumption (% of total final energy consumption) in Tonga was reported at 2.3 % in 2022, according to the World Bank collection of development indicators, compiled from officially recognized sources. Tonga - Renewable energy consumption (% of total final energy consumption) - actual values, historical data, forecasts and projections were sourced from the World Bank on August of 2025.
This dataset should be read alongside other energy consumption datasets on the City of Melbourne open data platform as well as the following report:
The dataset outlines modelled energy consumption across the City of Melbourne municipality. It is not energy consumption data captured by a meter, but modelled data based on building attributes such as building age, floor area etc. This data was provided by the CSIRO as a result of a study commissioned by IMAP Councils. The study was governed by a Grant Agreement between Councils and the CSIRO, which stated an intent for the data to be published. This specific dataset is presented at a property level scale. It includes both commercial and residential buildings and projections for energy consumption have been made for between 2016 and 2026, based on a business-as-usual scenario. It does not include the industrial sector.
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Market Overview: The global electricity usage monitor market is projected to reach a valuation of $579 million by 2033, expanding at a CAGR of 6.7% during the forecast period of 2025-2033. The growing demand for energy efficiency, coupled with government regulations to reduce carbon emissions, is driving market growth. Additionally, the increasing adoption of smart homes and smart energy devices is creating opportunities for electricity usage monitors as they provide real-time insights into energy consumption, enabling consumers to optimize usage and save costs. Key Drivers, Trends, and Restraints: The market is primarily driven by the rising awareness of energy conservation and the need to reduce energy consumption. Moreover, the increasing demand for renewable energy sources, such as solar and wind energy, is fueling the adoption of solar-ready electricity usage monitors, which can monitor energy usage from both grid and alternative energy sources. However, the high cost of installation and maintenance remains a restraint on market growth. Nonetheless, continuous technological advancements and the introduction of cost-effective solutions are expected to mitigate this challenge over the forecast period. Concentration Areas and Characteristics of Innovation: The electricity usage monitor market is characterized by several areas of concentration and innovation:
Real-time monitoring: Devices that provide real-time data on electricity consumption, allowing users to identify patterns and reduce usage. Smart grid integration: Monitors that can communicate with smart grids to optimize energy consumption and reduce peak demand. Mobile integration: Monitors that can be accessed and controlled via mobile apps, enabling remote monitoring and control. Artificial intelligence (AI): Monitors that use AI to analyze consumption data, identify anomalies, and provide personalized recommendations.
Impact of Regulations: Government regulations play a significant role in driving the adoption of electricity usage monitors. Many countries have implemented energy efficiency standards and incentives to encourage consumers and businesses to reduce energy consumption. These regulations create a favorable market environment for electricity usage monitors. Product Substitutes: There are few direct substitutes for electricity usage monitors. However, consumers may choose other energy-saving devices, such as smart thermostats or LED lighting, to reduce their energy consumption. End User Concentration and Level of M&A: The end user market for electricity usage monitors is highly fragmented, with residential and commercial buildings accounting for the majority of demand. There has been a significant level of M&A activity in the industry, as larger companies seek to acquire smaller players with innovative technologies and market share.
According to a recent forecast, electricity demand in Italy is expected to grow gradually in the following years. It was forecast that the demand would reach a peak of 362 terawatt-hours by 2030, up from 312 terawatt-hours in 2024. Electricity demand in Italy The actual electricity demand in Italy has shown a decreasing trend over the previous decades, declining to below 310 terawatt-hours in 2023. High electricity prices and increased energy efficiency contributed to the decline in power demand in the country. However, the electrification of the transportation sector, industrial activities, and heat production will reverse this trend in the next years. Italy's electricity consumption by sector Industrial activities accounted for the largest electricity consumption in the country as of 2023, followed by the tertiary sector. Italy's industrial electricity consumption has decreased by approximately 10 terawatt-hours over the past three years.
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According to Cognitive Market Research, the global Electricity Generation market size will be USD 2154.2 million in 2024. It will expand at a compound annual growth rate (CAGR) of 9.80% from 2024 to 2031.
North America held the major market share for more than 40% of the global revenue with a market size of USD 861.68 million in 2024 and will grow at a compound annual growth rate (CAGR) of 8.0% from 2024 to 2031.
Europe accounted for a market share of over 30% of the global revenue with a market size of USD 646.26 million.
Asia Pacific held a market share of around 23% of the global revenue with a market size of USD 495.47 million in 2024 and will grow at a compound annual growth rate (CAGR) of 11.8% from 2024 to 2031.
Latin America had a market share of more than 5% of the global revenue with a market size of USD 107.71 million in 2024 and will grow at a compound annual growth rate (CAGR) of 9.2% from 2024 to 2031.
Middle East and Africa had a market share of around 2% of the global revenue and was estimated at a market size of USD 43.08 million in 2024 and will grow at a compound annual growth rate (CAGR) of 9.5% from 2024 to 2031.
Thermal Generation is the market leader in the Electricity Generation industry
Market Dynamics of Electricity Generation Market
Key Drivers for Electricity Generation Market
Rising need for cooling boosts the electricity generation market: The increased demand for cooling is projected to drive the electricity generating market in the future years. Cooling is the process of lowering the temperature of an object or environment, which is usually accomplished by transporting heat away from the intended location, typically utilizing air or a cooling medium. Power generation can be utilized to cool by running air conditioning (AC) and fans to keep indoor temperatures comfortable. For instance, According to the International Energy Agency, an autonomous intergovernmental body located in France, in July 2023, more than 90% of households in the United States and Japan had an air conditioner. Cooling accounts for around 10% of global electricity use. In warmer countries, this might result in a more than 50% increase in power demand during the summer months. As a result, increased demand for cooling is likely to drive expansion in the power generating industry.
Increasing applications of electricity in the transportation industry: The growing use of energy in the transportation industry is predicted to increase demand for electricity, hence pushing the power generation market. The electrification of railways in underdeveloped and developing countries, the establishment of public transportation networks such as rapid metro transit systems, and the growing use of electric vehicles in developed countries will all create significant market opportunities for power generation companies. For instance, in order to achieve net-zero carbon emissions, the Office of Rail and Road (ORR) predicts that 13,000 track kilometers - or roughly 450 km per year - of track in the UK will need to be electrified by 2050, with 179 km electrified between 2020 and 2021. According to the Edison Electric Institute (EEl), yearly electric car sales in the United States are estimated to exceed 1.2 million by 2025. Electric vehicles are projected to account for 9% of worldwide electricity demand by 2050.
Restraint Factor for the Electricity Generation Market
High initial capital investment for renewable projects: The high initial capital for renewable projects is indeed a limiting factor for the market growth of the electricity generation sector, as most such technologies, infrastructure, and installation depend on significant up-front funding. For instance, most renewable energy technologies are highly capital intensive-solar, and wind, in particular, scares investors away from taking action, especially if they are small or developing firms. There is thus an economic limitation that restricts competition and contributes toward slower development of cleaner energy solutions. Moreover, funding can be quite tricky and challenging-especially for a poor economic climate. The payback times attached to these investment options are long, leading to uncertainty and making stakeholders reluctant to commit. These financial constraints are, therefore, blighting the transition to renewable energy as well as, more broadly, the overall electricity generation market
Trends for the Ele...
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This Dataset represents the best consumption information up to date, presenting a forecast until the end of the year.The Dataset is composed of the following elements:Energy consumption of installations with MAT voltage level (very high voltage);Energy consumption of installations with AT voltage level (high voltage);Energy consumption of installations with MT (medium voltage) voltage level;Energy consumption of installations with BT voltage level (low voltage);Sum of energy consumption of all voltage levels (Total).The data is obtained through the best information on existing consumption until the data, making a forecast until the end of the year based on historical values. At the end of each 15-minute period, the total amount corresponds to the energy during that interval.The update frequency is monthly.Use case: This data allows you to monitor the best information on national energy consumption, quarter-hourly by voltage level during the year in question.1. The information made available by E-REDES constitutes an approximation to the values taken from the system and is based on the moment in which it is collected. Given that the connection points, the electricity distribution network, and the consumption and production values themselves are naturally very dynamic, it is safeguarded that the information made available may be subject to subsequent changes and updates, with the exception of any omissions and/or occasional inaccuracies of location that the information may contain.2. In this way, E-REDES is not liable to third parties, namely, partners, service providers, contractors, users and customers, for damages that may arise as a result, direct or indirect, of the use of this Information, in particular when carrying out interventions, calculations and/or estimates, without confirming the accuracy and updating of the data, whereby it is duly noted that the consultation of this information does not affect the duty to promote a direct consultation with E-REDES in order to obtain updated information.The data provided by the E-REDES Open Data Portal is covered by open licenses (CC BY 4.0). There are no restrictions on access, under the commitment that data users cite the publisher. Therefore, we suggest that you cite the Open Data E-REDES Portal as:E-REDES – Distribuição de Eletricidade, “E-REDES Open Data Portal”. Accessed in “Data”. [Online] Available at https://e-redes.opendatasoft.com/pages/homepage/If you share on social media, please add #PortalOpenData_E_REDES
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Forecast: Primary Energy Consumption in Sweden 2023 - 2027 Discover more data with ReportLinker!
According to a recent forecast, global electricity consumption will range between ****** and ****** terawatt-hours in 2030 and between ****** and ****** terawatt-hours in 2050, depending on the energy transition scenario. However, to keep the global temperature increase below *** degrees Celsius, the total electricity consumption in the world should be at ****** terawatt-hours in 2030, a result that is not likely to be achieved even if the current energy transition commitments are achieved (Achieved Commitments scenario).