98 datasets found
  1. Average monthly energy bills in the U.S. 2024, by state

    • statista.com
    Updated Aug 19, 2024
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    Statista (2024). Average monthly energy bills in the U.S. 2024, by state [Dataset]. https://www.statista.com/statistics/1487852/energy-prices-us-by-state/
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    Dataset updated
    Aug 19, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2024
    Area covered
    United States
    Description

    The state of Wyoming recorded the highest monthly energy price in 2024, amounting to 1,591 U.S. dollars. More expensive bills were due to the freezing winters faced by more northern states, as well as population distributed across rural areas with fewer heating options. Arizona and New Mexico have the lowest energy costs in the U.S., at 400 U.S. dollars and 376 U.S. dollars, respectively.

  2. 12 August 2013 - Power price freeze for Endeavour Energy customers

    • data.nsw.gov.au
    • researchdata.edu.au
    pdf
    Updated Sep 8, 2021
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    NSW Government (2021). 12 August 2013 - Power price freeze for Endeavour Energy customers [Dataset]. https://data.nsw.gov.au/data/dataset/3-16246-12-august-2013---power-price-freeze-for-endeavour-energy-customers
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    pdfAvailable download formats
    Dataset updated
    Sep 8, 2021
    Dataset provided by
    Government of New South Waleshttp://nsw.gov.au/
    Description

    No notes provided

  3. o

    Activated balancing energy prices per minute (Historical data - up to...

    • external-elia.opendatasoft.com
    • opendata.elia.be
    • +1more
    csv, excel, json
    Updated Aug 23, 2024
    + more versions
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    (2024). Activated balancing energy prices per minute (Historical data - up to 22/05/2024) [Dataset]. https://external-elia.opendatasoft.com/explore/dataset/ods062/api/
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    csv, excel, jsonAvailable download formats
    Dataset updated
    Aug 23, 2024
    Description

    Prices of energy activated to maintain a balance in Elia’s control area, as well as the strategic reserve activated to ensure adequacy in the Elia control area. The cumulative prices per minute are indicated for every product category (if the product was actually used). Only regulation-related measures requested by Elia with a view to offsetting imbalances in the control area are included.At the specified time, the most recent available data are collected and displayed as quickly as technically possible. All published values are non-validated values and can therefore only be used for information purposes. Contains the historical data and is refreshed daily.This dataset contains data until 21/05/2024 (before MARI local go-live).

  4. Poland: industrial prices for electricity 2007-2023

    • statista.com
    Updated May 8, 2024
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    Statista (2024). Poland: industrial prices for electricity 2007-2023 [Dataset]. https://www.statista.com/statistics/596274/electricity-industry-price-poland/
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    Dataset updated
    May 8, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Poland
    Description

    In the second half of 2023, electricity prices for the industry in Poland exceeded 13.8 euros per kilowatt-hour.

    Electricity prices in households in Poland

    The energy intensity of enterprises in Poland is one of the highest in the European Union and much higher than in Western European countries. Companies cannot compensate for rising energy prices in the prices of their products. Therefore, they are forced to look for other alternatives. Rising electricity prices for the industry are pushing entrepreneurs not only to save energy but also to look for their own sources of energy production, which would ultimately improve energy efficiency and reduce operating costs for many enterprises. Electricity prices for households in Poland amounted to 17.7 euros per kilowatt-hour in the second half of 2023. The low prices in 2019 were mainly the result of the government's freezing of electricity prices to final recipients. However, the government increased energy prices from 2020. This will meant an increase in the cost of living for the average citizen. Not only energy prices rose, but also the prices of goods and services dependent on energy.

    Wholesale electricity prices in Poland

    Wholesale electricity prices in Poland were the highest in Central and Eastern Europe as of February 2024. Prices ranged increased from 203.7 zloty per megawatt-hour in March 2018 to nearly 1.4 thousand zloty per megawatt-hour in August 2022. The increase in wholesale electricity prices is mainly due to the price of coal. Coal is the primary fuel used to produce energy in Poland. In 2019, 77 TWh of power was produced from hard coal and 43 TWh from lignite. Another reason for higher energy prices is the rising price of CO2 emission allowances and the expected increase in generation capacity in the heating sector.

  5. Data from: Dataset for: Price Controls for Scarcity Events in Real-Time and...

    • osti.gov
    Updated Mar 13, 2024
    + more versions
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    Hardy, Trevor D; Kerby, Jessica R (2024). Dataset for: Price Controls for Scarcity Events in Real-Time and Transactive Energy Systems [Dataset]. https://www.osti.gov/dataexplorer/biblio/dataset/2323342
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    Dataset updated
    Mar 13, 2024
    Dataset provided by
    United States Department of Energyhttp://energy.gov/
    Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)
    Authors
    Hardy, Trevor D; Kerby, Jessica R
    Description

    Real time pricing (RTP) is often promoted as a mechanism to improve the economic efficiency of the electricity system. However, many regulators have been hesitant to adopt RTP due to concerns about exposing customers to extreme price swings. To balance these concerns, this paper proposes a methodology for establishing price controls, based on the supply of demand-side flexibility in the system. As an illustrative example, we measure price responsiveness using an agent-based simulation model that is representative of the ERCOT market. The model is composed of a distribution feeder that has 250 customers with active agents controlling their HVAC systems in response to the historical ERCOT RTP with an artificially added high-price event. These agents are subjected to increasing electricity prices during the event, which we then use to create a supply curve for demand-side resources in our modeled scarcity event. We set potential price caps at points on the supply curve where customers’ have exhausted their flexible capacity. Using historical prices, we examine the systemic costs of these price caps, and present regulatory options for recouping them. Utilities and regulators interested in limiting consumer risk from dynamic pricing can utilize these methods to develop rate structures and encourage conservation.more » The attached data upload allows for the duplication or modification of the analysis performed in this study.« less

  6. F

    Producer Price Index by Industry: Electric Bulk Power Transmission and...

    • fred.stlouisfed.org
    json
    Updated Mar 13, 2025
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    (2025). Producer Price Index by Industry: Electric Bulk Power Transmission and Control: Primary Products [Dataset]. https://fred.stlouisfed.org/series/PCU221121221121P
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    jsonAvailable download formats
    Dataset updated
    Mar 13, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Description

    Graph and download economic data for Producer Price Index by Industry: Electric Bulk Power Transmission and Control: Primary Products (PCU221121221121P) from Dec 2003 to Feb 2025 about power transmission, primary, electricity, PPI, industry, inflation, price index, indexes, price, and USA.

  7. Governmental intervention for energy price regulation in the U.S. 2023

    • statista.com
    Updated Aug 24, 2023
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    Statista (2023). Governmental intervention for energy price regulation in the U.S. 2023 [Dataset]. https://www.statista.com/forecasts/1371342/governmental-intervention-for-energy-price-regulation-in-the-us
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    Dataset updated
    Aug 24, 2023
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jun 2, 2023 - Jun 19, 2023
    Area covered
    United States
    Description

    The displayed data on governmental intervention for energy price regulation shows results of the Consumer Insights Sustainable Consumption survey conducted in the United States in 2023. Some 64 percent of respondents answered the question "Which of the following statements about your personal finances do you agree with? / I believe the government should intervene to regulate energy prices" with "Agree".

  8. e

    Balancing energy prices components per minutes (Historical as of 22/05/2024)...

    • opendata.elia.be
    csv, excel, json
    Updated Aug 23, 2024
    + more versions
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    (2024). Balancing energy prices components per minutes (Historical as of 22/05/2024) [Dataset]. https://opendata.elia.be/explore/dataset/ods165/
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    json, csv, excelAvailable download formats
    Dataset updated
    Aug 23, 2024
    Description

    Prices of the components used to calculate the imbalance price per minute. At the specified time, the most recent available data are collected and displayed as quickly as technically possible. All published values are non-validated values and can therefore only be used for information purposes. This report contains the historical data and is refreshed daily.This dataset contains data from 22/05/2024 (MARI local go-live) on.

  9. O

    Time series

    • data.open-power-system-data.org
    csv, sqlite, xlsx
    Updated Oct 6, 2020
    + more versions
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    Jonathan Muehlenpfordt (2020). Time series [Dataset]. http://doi.org/10.25832/time_series/2020-10-06
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    csv, sqlite, xlsxAvailable download formats
    Dataset updated
    Oct 6, 2020
    Dataset provided by
    Open Power System Data
    Authors
    Jonathan Muehlenpfordt
    Time period covered
    Jan 1, 2015 - Oct 1, 2020
    Variables measured
    utc_timestamp, DE_wind_profile, DE_solar_profile, DE_wind_capacity, DK_wind_capacity, SE_wind_capacity, CH_solar_capacity, DE_solar_capacity, DK_solar_capacity, AT_price_day_ahead, and 290 more
    Description

    Load, wind and solar, prices in hourly resolution. This data package contains different kinds of timeseries data relevant for power system modelling, namely electricity prices, electricity consumption (load) as well as wind and solar power generation and capacities. The data is aggregated either by country, control area or bidding zone. Geographical coverage includes the EU and some neighbouring countries. All variables are provided in hourly resolution. Where original data is available in higher resolution (half-hourly or quarter-hourly), it is provided in separate files. This package version only contains data provided by TSOs and power exchanges via ENTSO-E Transparency, covering the period 2015-mid 2020. See previous versions for historical data from a broader range of sources. All data processing is conducted in Python/pandas and has been documented in the Jupyter notebooks linked below.

  10. Forecast: Electricity Distribution and Control Apparatus Labour Cost Per...

    • reportlinker.com
    Updated Apr 5, 2024
    + more versions
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    ReportLinker (2024). Forecast: Electricity Distribution and Control Apparatus Labour Cost Per Employee FTE in France 2022 - 2026 [Dataset]. https://www.reportlinker.com/dataset/f03c71610ec45b6c249e8f80e6d079646b3330fa
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    Dataset updated
    Apr 5, 2024
    Dataset authored and provided by
    ReportLinker
    License

    Attribution-NonCommercial 4.0 (CC BY-NC 4.0)https://creativecommons.org/licenses/by-nc/4.0/
    License information was derived automatically

    Area covered
    France
    Description

    Forecast: Electricity Distribution and Control Apparatus Labour Cost Per Employee FTE in France 2022 - 2026 Discover more data with ReportLinker!

  11. The global Home Energy Management market size will be USD 3814.5 million in...

    • cognitivemarketresearch.com
    pdf,excel,csv,ppt
    Updated Sep 13, 2024
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    Cognitive Market Research (2024). The global Home Energy Management market size will be USD 3814.5 million in 2024. [Dataset]. https://www.cognitivemarketresearch.com/home-energy-management-market-report
    Explore at:
    pdf,excel,csv,pptAvailable download formats
    Dataset updated
    Sep 13, 2024
    Dataset authored and provided by
    Cognitive Market Research
    License

    https://www.cognitivemarketresearch.com/privacy-policyhttps://www.cognitivemarketresearch.com/privacy-policy

    Time period covered
    2021 - 2033
    Area covered
    Global
    Description

    According to Cognitive Market Research, the global Home Energy Management market size will be USD 3814.5 million in 2024. It will expand at a compound annual growth rate (CAGR) of 14.20% 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 1525.80 million in 2024 and will grow at a compound annual growth rate (CAGR) of 12.4% from 2024 to 2031.
    Europe accounted for a market share of over 30% of the global revenue with a market size of USD 1144.35 million.
    Asia Pacific held a market share of around 23% of the global revenue with a market size of USD 877.34 million in 2024 and will grow at a compound annual growth rate (CAGR) of 16.2% from 2024 to 2031.
    Latin America had a market share of more than 5% of the global revenue with a market size of USD 190.73 million in 2024 and will grow at a compound annual growth rate (CAGR) of 13.6% 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 76.29 million in 2024 and will grow at a compound annual growth rate (CAGR) of 13.9% from 2024 to 2031.
    The Hardware Offering is the fastest growing segment of the Home Energy Management industry
    

    Market Dynamics of Home Energy Management Market

    Key Drivers for Home Energy Management Market

    Increasing energy prices prompt homeowners to seek efficient solutions to Boost Market Growth

    Increasing energy prices are a significant driver for the Home Energy Management Market as they directly impact homeowners' utility bills. As energy costs rise, homeowners are motivated to seek efficient solutions to manage and reduce their energy consumption, aiming to lower their overall expenses. Home energy management systems offer tools for monitoring and optimizing energy use, helping homeowners identify inefficiencies and make adjustments that result in cost savings. These systems enable better control over energy consumption patterns through smart technologies, such as automation and real-time monitoring. Consequently, the growing need to mitigate rising energy costs fuels the demand for advanced home energy management solutions, driving market growth. For instance, in September 2022, IBM has introduced the latest version of its LinuxONE server, a highly scalable platform based on Linux and Kubernetes, designed to handle thousands of workloads within a single framework. The IBM LinuxONE Emperor 4 features a scalable approach that enables clients to run more workloads at higher density and capability by activating unused cores without increasing energy consumption or greenhouse gas emissions.

    Growing Policies and incentives promoting energy efficiency and renewable energy adoption to Drive Market Growth

    Growing policies and incentives promoting energy efficiency and renewable energy adoption are driving the Home Energy Management Market by creating a favorable environment for the deployment of energy management systems. Governments and regulatory bodies often offer tax rebates, subsidies, and financial incentives to encourage homeowners to invest in energy-efficient technologies and renewable energy sources, such as solar panels. These policies lower the financial barriers to adopting home energy management systems, making them more accessible and attractive. Additionally, stringent energy efficiency standards and regulations push homeowners to implement solutions that reduce energy consumption and greenhouse gas emissions. As a result, the supportive regulatory landscape accelerates the adoption of home energy management systems, fostering market growth and innovation.

    Restraint Factor for the Home Energy Management Market

    High Initial Costs will Limit Market Growth

    High initial costs are a significant restraint on the Home Energy Management Market, as the upfront investment required for purchasing and installing energy management systems can be substantial. This financial barrier can deter homeowners, especially those on a tight budget or with limited financial resources, from adopting these technologies. The cost includes not only the price of the equipment but also installation and potential integration with existing home systems. Although these systems can lead to long-term savings, the immediate expense may outweigh perceived benefits for some consumers. This financial hurdle slows market penetration and adoption rates, limiting the ove...

  12. f

    Explore channels of effectiveness of government targets and electricity...

    • plos.figshare.com
    xls
    Updated Jun 16, 2023
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    Maoyong Fan; Jing Cao; Kuangyuan Zhang; Zhen Lei (2023). Explore channels of effectiveness of government targets and electricity prices. [Dataset]. http://doi.org/10.1371/journal.pone.0263325.t004
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 16, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Maoyong Fan; Jing Cao; Kuangyuan Zhang; Zhen Lei
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Explore channels of effectiveness of government targets and electricity prices.

  13. Modular Energy Control System Market by Component Type, Source Type,...

    • futuremarketinsights.com
    pdf
    Updated Sep 29, 2022
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    Future Market Insights (2022). Modular Energy Control System Market by Component Type, Source Type, Application & Region - Forecast 2022 to 2032 [Dataset]. https://www.futuremarketinsights.com/reports/global-modular-energy-control-system-market
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    pdfAvailable download formats
    Dataset updated
    Sep 29, 2022
    Dataset authored and provided by
    Future Market Insights
    License

    https://www.futuremarketinsights.com/privacy-policyhttps://www.futuremarketinsights.com/privacy-policy

    Time period covered
    2022 - 2032
    Area covered
    Worldwide
    Description

    According to Future Market Insights, during the projection period, the global Modular Energy Control System market is set to reach a valuation of US$ 3.6 Bn by 2022, and further grow at a CAGR of 8.4% during 2022-2032. The top 3 nations are anticipated to control around 56.8% of the market by the end of 2022, as sales of modular energy control systems are expected to soar.

    AttributesDetails
    Market Size 2022US$ 3.6 Billion
    Market Size 2032US$ 8.2 Billion
    Value CAGR (2022 to 2032)8.4%
    Collective Value Share: Top 3 Countries (2022E)58.2%

    Scope of the Report

    AttributeDetails
    Growth RateCAGR of 8.4% from 2022 to 2032
    Base Year for Estimation2022
    Historical Data2017 to 2021
    Forecast Period2022 to 2032
    Quantitative UnitsRevenue in USD Billion, Volume (Units)and CAGR from 2022 to 2032
    Report CoverageRevenue Forecast, Volume Forecast, Company Ranking, Competitive Landscape, Growth Factors, Trends and Pricing Analysis
    Segments Covered
    • Component Type
    • Source Type
    • Application
    • Region
    Regions Covered
    • North America
    • Latin America
    • Europe
    • East Asia
    • South Asia & Pacific
    • Middle East and Africa
    Key Countries Covered
    • USA
    • Canada
    • Mexico
    • Brazil
    • Germany
    • UK
    • France
    • Italy
    • Spain
    • BENELUX
    • Russia
    • China
    • Japan
    • South Korea
    • India
    • ASEAN
    • ANZ
    • GCC Countries
    • Turkey
    • South Africa
    • Northern Africa
    Key Companies Profiled
    • SolarWatt
    • GridPoint
    • Joulex Energy
    • SAPSE
    • Schneider Electric
    • Aleo Solar
    • Nuvation Energy
    • EnergyCAP
    • PowerLogic ION EEM
    • eSight Energy
    • Hara EEM
    Customization & PricingAvailable upon Request
  14. f

    Effects of government targets and electricity prices.

    • figshare.com
    xls
    Updated Jun 15, 2023
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    Maoyong Fan; Jing Cao; Kuangyuan Zhang; Zhen Lei (2023). Effects of government targets and electricity prices. [Dataset]. http://doi.org/10.1371/journal.pone.0263325.t001
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 15, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Maoyong Fan; Jing Cao; Kuangyuan Zhang; Zhen Lei
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Effects of government targets and electricity prices.

  15. F

    Producer Price Index by Industry: Electric Power Transmission, Control, and...

    • fred.stlouisfed.org
    json
    Updated Mar 13, 2025
    + more versions
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    (2025). Producer Price Index by Industry: Electric Power Transmission, Control, and Distribution [Dataset]. https://fred.stlouisfed.org/series/PCU2211222112
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Mar 13, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Description

    Graph and download economic data for Producer Price Index by Industry: Electric Power Transmission, Control, and Distribution (PCU2211222112) from Dec 2003 to Feb 2025 about power transmission, distributive, electricity, PPI, industry, inflation, price index, indexes, price, and USA.

  16. The global Home Energy Management System (HEMS) market size will be USD...

    • cognitivemarketresearch.com
    pdf,excel,csv,ppt
    Updated Nov 6, 2024
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    Cognitive Market Research (2024). The global Home Energy Management System (HEMS) market size will be USD 4125.2 million in 2024. [Dataset]. https://www.cognitivemarketresearch.com/home-energy-management-system-market-report
    Explore at:
    pdf,excel,csv,pptAvailable download formats
    Dataset updated
    Nov 6, 2024
    Dataset authored and provided by
    Cognitive Market Research
    License

    https://www.cognitivemarketresearch.com/privacy-policyhttps://www.cognitivemarketresearch.com/privacy-policy

    Time period covered
    2021 - 2033
    Area covered
    Global
    Description

    According to Cognitive Market Research, the global Home Energy Management System (HEMS) market size will be USD 4125.2 million in 2024. It will expand at a compound annual growth rate (CAGR) of 14.20% 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 1650.08 million in 2024 and will grow at a compound annual growth rate (CAGR) of 12.4% from 2024 to 2031.
    Europe accounted for a market share of over 30% of the global revenue with a market size of USD 1237.56 million.
    Asia Pacific held a market share of around 23% of the global revenue with a market size of USD 948.80 million in 2024 and will grow at a compound annual growth rate (CAGR) of 16.2% from 2024 to 2031.
    Latin America had a market share of more than 5% of the global revenue with a market size of USD 206.26 million in 2024 and will grow at a compound annual growth rate (CAGR) of 13.6% 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 82.50 million in 2024 and will grow at a compound annual growth rate (CAGR) of 13.9% from 2024 to 2031.
    The thermostat category is the fastest growing segment of the Home Energy Management System (HEMS) industry
    

    Market Dynamics of Home Energy Management System (HEMS) Market

    Key Drivers for Home Energy Management System (HEMS) Market

    Rising Need for Optimizing Energy Consumption to Boost Market Growth

    With its effective and sustainable energy storage and usage options, thermal energy storage (TES) is an essential part of home energy management systems (HEMS). When demand is low, TES technologies are made to store extra thermal energy, which is then released when demand is high. This strategy guarantees a dependable and economical means of energy consumption optimization. Conventional energy sources frequently require assistance to fulfill peak demand, which puts strain on the grid and raises electricity costs. For this problem, TES technologies offer a reliable and expandable solution. With TES, energy consumption is efficiently managed, and expensive peak power generation is not required by storing thermal energy during low-demand times, including at night or during off-peak hours, and releasing it when demand is high.

    Growing Number of Smart Homes to Drive Market Growth

    The market for home energy management systems (HEMS) is expanding quickly because of the rising need for intelligent and energy-efficient technology that lets users remotely control their home appliances and other systems. Thus, as more people outfit their smart homes with various smart gadgets, the growing demand for smart homes is anticipated to present growth possibilities for vendors in the home energy management system market. The markets are most widely accepted in North America, Asia-Pacific, and Europe. Users are also gravitating toward the Smart City movement, which is more prevalent in industrialized countries like Western Europe, the US, Canada, and Japan. Voice control, artificial intelligence, and intelligent assistants are examples of technological advancements that have made smart and connected houses feasible control centers. They are a ground-breaking advancement in home design that improves sustainability, comfort, convenience, security, and entertainment.

    Restraint Factor for the Home Energy Management System (HEMS) Market

    High Cost of HEMS Will Limit the Market Growth

    Even while retail automation and IoT dominance are on the rise, the high investment cost prevents home energy management systems (HEMS) from being widely adopted, particularly in the price-sensitive emerging regions of APAC and Latin America. These gadgets can be challenging to install, and expert help is typically required. The current smart house infrastructure may also be included in some home energy management systems, which could incur extra fees. Furthermore, low-income households may find the high upfront expenses of home energy management systems particularly difficult to afford. Financial limitations may be challenging for these consumers, who stand to gain from the system's potential energy savings.

    Impact of Covid-19 on the Home Energy Management System (HEMS) Market

    Due to the pandemic's economic uncertainties, numerous homeowners put off investing in home energy management systems and other non-essential expenses. Lockdowns, travel restrict...

  17. T

    Euro Area - Producer prices in industry: Manufacture of electricity...

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Aug 18, 2021
    + more versions
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    TRADING ECONOMICS (2021). Euro Area - Producer prices in industry: Manufacture of electricity distribution and control apparatus [Dataset]. https://tradingeconomics.com/euro-area/producer-prices-in-industry-manufacture-of-electricity-distribution-control-apparatus-eurostat-data.html
    Explore at:
    xml, excel, json, csvAvailable download formats
    Dataset updated
    Aug 18, 2021
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 1, 1976 - Dec 31, 2025
    Area covered
    Euro Area
    Description

    Euro Area - Producer prices in industry: Manufacture of electricity distribution and control apparatus was 118.70 points in December of 2024, according to the EUROSTAT. Trading Economics provides the current actual value, an historical data chart and related indicators for Euro Area - Producer prices in industry: Manufacture of electricity distribution and control apparatus - last updated from the EUROSTAT on March of 2025. Historically, Euro Area - Producer prices in industry: Manufacture of electricity distribution and control apparatus reached a record high of 118.90 points in November of 2024 and a record low of 77.40 points in January of 2000.

  18. Average electricity retail price Vietnam 2010-2022

    • statista.com
    Updated Jul 3, 2024
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    Average electricity retail price Vietnam 2010-2022 [Dataset]. https://www.statista.com/statistics/981190/vietnam-electricity-retail-price/
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    Dataset updated
    Jul 3, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Vietnam
    Description

    In 2022, the average electricity retail price in Vietnam was at 8.3 U.S. cents per kilowatt hour. The average retail price for electricity in the country has been growing steadily in the country in recent years.

  19. d

    Data from: Advanced Control Systems for Wave Energy Converters

    • catalog.data.gov
    • data.openei.org
    • +4more
    Updated Jan 20, 2025
    + more versions
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    Resolute Marine Energy, Inc. (2025). Advanced Control Systems for Wave Energy Converters [Dataset]. https://catalog.data.gov/dataset/advanced-control-systems-for-wave-energy-converters-250bb
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    Dataset updated
    Jan 20, 2025
    Dataset provided by
    Resolute Marine Energy, Inc.
    Description

    This submission contains several papers, a final report, descriptions of a theoretical framework for two types of control systems, and descriptions of eight real-time flap load control policies with the objective of assessing the potential improvement of annual average capture efficiency at a reference site on an MHK device developed by Resolute Marine Energy, Inc. (RME). The submission also contains an LCOE model that estimates the performance and related energy cost improvements that each advanced control system might provide and recommendations for improving DOE's LCOE model. The two types of control systems are for wave energy converters which transform data into commands that, in the case of RME's OWSC wave energy converter, provide real-time adjustments to damping forces applied to the prime mover via the power take-off system (PTO). The control theories developed were: 1) Model Predictive Control (MPC) or so-called "non-causal" control whereby sensors deployed seaward of a wave energy converter measure incoming wave characteristics and transmit that information to a data processor which issues commands to the PTO to adjust the damping force to an optimal value; and 2) "Causal" control which utilizes local sensors on the wave energy converter itself to transmit information to a data processor which then issues appropriate commands to the PTO. The two advanced control policies developed by Scruggs and Re Vision were then compared to a simple control policy, Coulomb damping, which was utilized by RME during the two rounds of ocean trials it had conducted prior to the commencement of this project. The project work plan initially included a provision for RME to conduct hardware-in-the-loop (HIL) testing of the data processors and configurations of valves, sensors and rectifiers needed to implement the two advanced control systems developed by Scruggs and Re Vision Consulting but the funding for that aspect of the project was cut at the conclusion of Budget Period 1. Accordingly, more work needs to be done to determine: a) means and feasibility of implementing real-time control; and b) added costs associated with such implementation taking into account estimated effects on system availability in addition to component costs.

  20. C

    China CN: Electricity Transmission, Distribution & Control Equipment:...

    • ceicdata.com
    Updated Dec 15, 2020
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    CEICdata.com (2020). China CN: Electricity Transmission, Distribution & Control Equipment: Selling and Distribution Cost: ytd [Dataset]. https://www.ceicdata.com/en/china/electrical-machinery-and-equipment-electricity-transmission-distribution-and-control-equipment/cn-electricity-transmission-distribution--control-equipment-selling-and-distribution-cost-ytd
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    Dataset updated
    Dec 15, 2020
    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Nov 1, 2014 - Oct 1, 2015
    Area covered
    China
    Variables measured
    Economic Activity
    Description

    China Electricity Transmission, Distribution & Control Equipment: Selling and Distribution Cost: Year to Date data was reported at 44.775 RMB bn in Oct 2015. This records an increase from the previous number of 39.868 RMB bn for Sep 2015. China Electricity Transmission, Distribution & Control Equipment: Selling and Distribution Cost: Year to Date data is updated monthly, averaging 15.521 RMB bn from Dec 2004 (Median) to Oct 2015, with 96 observations. The data reached an all-time high of 53.935 RMB bn in Dec 2014 and a record low of 1.917 RMB bn in Feb 2006. China Electricity Transmission, Distribution & Control Equipment: Selling and Distribution Cost: Year to Date data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Industrial Sector – Table CN.BIA: Electrical Machinery and Equipment: Electricity Transmission, Distribution and Control Equipment.

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Statista (2024). Average monthly energy bills in the U.S. 2024, by state [Dataset]. https://www.statista.com/statistics/1487852/energy-prices-us-by-state/
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Average monthly energy bills in the U.S. 2024, by state

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Dataset updated
Aug 19, 2024
Dataset authored and provided by
Statistahttp://statista.com/
Time period covered
2024
Area covered
United States
Description

The state of Wyoming recorded the highest monthly energy price in 2024, amounting to 1,591 U.S. dollars. More expensive bills were due to the freezing winters faced by more northern states, as well as population distributed across rural areas with fewer heating options. Arizona and New Mexico have the lowest energy costs in the U.S., at 400 U.S. dollars and 376 U.S. dollars, respectively.

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