Molly Ayala
RTE, France's transmission system operator, is responsible for maintaining a balance between electricity supply and demand in the country. To achieve this, RTE relies on various sources of electricity consumption data, including real-time remote measurements from generation facilities connected to its grid and distribution networks. This data is fed into power system monitoring software, allowing RTE to constantly adjust power output to meet user needs. Additionally, RTE utilizes telemetry set up by network operators at different points on the power grid, providing provisional data that offers a quick initial overview. RTE also collects data from its own meters and distribution network operators to gain a comprehensive view of metering data on transmission and distribution perimeters. Furthermore, RTE uses tools like Eco2mix to provide real-time power consumption and output indicators, helping consumers understand and manage their electricity usage.
| Characteristics | Values |
|---|---|
| Electricity consumption data source | Real-time remote measurements from generation facilities connected to RTE's grid, RTE's partners (Enedis and local distribution companies), and some wind and solar generation facilities |
| Data collection method | Remote telemetry on the RTE network |
| Data frequency | Hourly |
| Data availability | Data for the previous month is available on the 15th of each month |
| Data adjustments | Adjusted for weather effects and calendar effects (public holidays, weekends, school holidays, etc.) |
| Data presentation | Graphs, curves, and breakdowns of power generated by energy source |
| Data access | RTE Services Portal, Eco2mix tool (website, app), and third-party websites |
| Data use | Understanding electricity consumption patterns, maintaining balance between supply and demand, and improving the website |
| Data quality | Provisional data is less accurate than metering data |
| Data privacy | Cookies are used with user consent for audience measurement, video quality, and social media sharing |
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What You'll Learn
Real-time remote measurements
Generation facilities connected to distribution networks, such as Enedis and local distribution companies, also play a role in providing real-time data. These partners, along with some wind and solar generation facilities, send their remote measurements to RTE. However, RTE also relies on mathematical models to produce estimates or "flat rates" when data cannot be remotely monitored.
The real-time data collected by RTE is used to generate indicators for éCO2mix, providing insights into electricity consumption patterns. These indicators are compiled from remotely monitored data and supplemented by forecasts. The data is available with varying levels of granularity, including annual, monthly, weekly, and daily breakdowns, offering a detailed view of electricity consumption trends.
Additionally, RTE offers access to more detailed data through its services portal. This includes hourly energy generation data for specific production groups, providing insights into the net power injected into the RTE network. The portal also provides information on the BRP system, imbalance settlement prices, and monthly balancing accounts.
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Telemetry
RTE uses telemetry to gather provisional data, which offers an initial overview of electricity consumption and production. This provisional data is derived from telemetry set up by network operators at multiple points on the power grid. While it is available quickly, it is less accurate than metering data as it includes estimates for non-telemetered production or consumption. The provisional data provides a snapshot of the net power injected into the RTE network.
The telemetry data is collected by RTE's partners, such as Enedis and local distribution companies, as well as some wind and solar generation facilities. These entities send their remote measurements to RTE, who use this data to monitor and adjust power output to meet user needs. Telemetry allows RTE to constantly gather real-time data, ensuring a dynamic understanding of the power system.
Additionally, RTE uses telemetry to compile generation data. This data relates to the net power injected into the RTE network and is made available to RTE customers through the RTE Services Portal. Customers can access hourly energy generation data for each hour of the day selected, providing detailed insights into the power generation process.
Overall, telemetry is an essential tool for RTE to manage and understand electricity consumption in France. By collecting data from various sources and analysing it, RTE can maintain a balance between electricity supply and demand, ensuring the efficient and effective functioning of the French electricity transmission network.
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Mathematical models
RTE, the electricity transmission system operator in France, plays a crucial role in maintaining a balance between electricity supply and demand. To achieve this, RTE relies on various data sources, including real-time remote measurements, telemetry data, and mathematical models. While remote monitoring and telemetry provide valuable insights, mathematical models are essential for filling in the gaps and producing estimates when complete data coverage is not available.
The effectiveness of mathematical models in electricity consumption estimation is further enhanced through validation with real-world data. In the aforementioned study, the model's predictions are compared against actual power and energy consumption data from the building's consumption bills. This validation step helps to identify any discrepancies between the modelled data and real-world measurements, enabling the refinement and improvement of the model.
Additionally, mathematical models can be applied at a broader scale to analyse electricity consumption patterns across regions or countries. These models consider various factors influencing electricity usage, such as temperature sensitivity, public holidays, weekends, school holidays, and economic activity. By incorporating historical data, forecasts, and real-time measurements, these models can provide valuable insights into the dynamic nature of electricity consumption and support decision-making in the energy sector.
It is worth noting that mathematical models for electricity consumption estimation have limitations. They rely on assumptions and simplifications that may not always capture the complexity of real-world scenarios. As such, these models should be continuously evaluated and improved using feedback loops and new data sources to enhance their accuracy and reliability over time.
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Historical data
Historical electricity consumption data is crucial for understanding past trends and patterns in energy usage. This data is collected and published by organizations such as RTE in France and the U.S. Energy Information Administration (EIA).
RTE, for instance, provides access to historical data on electricity consumption in France. This data is presented in the form of annual and monthly reviews, as well as more granular weekly and daily breakdowns. The data is updated regularly, with provisional data available very quickly after each deadline, followed by more robust consolidated data. The consolidated data is considered highly reliable from its first availability. RTE's historical data allows users to view consumption behaviours over different periods, with the calendar enabling data viewing for up to one day or eight weeks on a desktop.
Additionally, RTE's historical data is updated twice following its initial publication. Firstly, in the following month, the historical data is consolidated based on available metering data. This consolidated data is represented in green in the calendar. In the first half of the following year, the historical data is finalized, based on all metering data, and this final data is shown in red in the calendar.
RTE's historical data also includes information on generation facilities, sellers, and unit commitment schedulers. It takes into account various factors influencing electricity consumption, such as demand-side response data, heat sensitivity, and calendar events like public holidays and weekends.
In the United States, the EIA provides historical energy data, including electricity generation and consumption. This data goes back to the year 1800 and is broken down by fuel and end-use sector. It offers insights into the changes in total and per-capita energy use over time and the dominant energy sources during different historical periods.
Overall, historical electricity consumption data is essential for analyzing energy trends, identifying patterns, and making informed decisions about energy policies and strategies.
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Metering data
One key source of metering data for RTE is the remote measurements from generation facilities connected to its grid. These facilities feed real-time data into RTE's power system monitoring software, providing valuable insights into electricity consumption. Additionally, RTE receives remote measurements from its partners, Enedis and local distribution companies, as well as some wind and solar generation facilities. This collaborative approach ensures a comprehensive understanding of electricity consumption across different sources.
While remote measurements are essential, RTE also recognises that not all data can be monitored remotely. To address this, they employ mathematical models to produce estimates or "flat rates". These estimates are used to supplement the remotely monitored data and provide a more complete picture of electricity consumption. Furthermore, RTE utilises telemetry set up by network operators at various points on the power grid to gather provisional data. Although less accurate than metering data, this provisional data offers a quick initial overview of electricity consumption patterns.
The metering data collected by RTE is made available to the public through various platforms, such as the RTE Services Portal and the éCO2mix tool. The RTE Services Portal provides access to a wealth of information, including consumption, production, and interconnection data. It also offers solutions for customers seeking to access the electricity market or grid. On the other hand, éCO2mix is a user-friendly tool that helps consumers understand and optimise their electricity consumption. It provides real-time power consumption and output indicators, both nationally and regionally, along with forecasts, generation breakdowns, and trading transaction data.
RTE's metering data is also used to create historical data, which is updated twice. The first update occurs in the following month, with the publication of consolidated data, which is based on available metering data. The second update occurs in the first half of the following year, resulting in finalised data that considers all metering data. This comprehensive approach ensures that historical data accurately reflects electricity consumption trends and patterns.
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Frequently asked questions
RTE uses a combination of real-time remote measurements, telemetry, and mathematical models to gather electricity consumption data.
Telemetry refers to the automatic measurement and transmission of data from remote sources. RTE uses telemetry set up by network operators at various points on the power grid to gather provisional data on electricity consumption. This provides an initial overview and is available quickly after each deadline, but it is not as accurate as metering data.
RTE updates its electricity consumption data every month. The data for the previous month becomes available on the 15th of each month.
RTE uses meteorological data and weather forecasts to forecast electricity consumption for the next day (D+1) and the day after (D+2). These forecasts are updated several times a day and are subject to change.
RTE makes its electricity consumption data publicly available through its website, the RTE Services Portal. You can also access this data through the éCO2mix tool, which is available online and via a smartphone or tablet app.
