Head of Engineering
Data Engineer
Tech Lead for the Data Platform
AVAILABLE IN +150 geographies
We provide actionable data quantifying how carbon intensive electricity is on an hourly basis across 50+ countries.
The data can be accessed historically, in real time, or as a forecast for the next 24 hours. You can also explore the real time data on the Electricity Maps app.
Case
Google uses Electricity Maps' forecast data to shift the timing of compute tasks running on their hyperscale data centers to times when low-carbon power sources, like wind and solar, are most plentiful.
In the future they plan to load shift not only based on time, but also based on location in order to maximize the reduction in carbon emissions.
Electric vehicle app Tezlab uses Electricity Maps' data to engage users with insights about the carbon impact of their transportation.
Tezlab quantifies the carbon footprint of EV charging, allowing users to visualize reductions in their footprint when they charge at the optimal time, and to purchase trees to offset the emissions they do cause.
Google uses Electricity Maps' forecast data to shift the timing of compute tasks running on their hyperscale data centers to times when low-carbon power sources, like wind and solar, are most plentiful.
In the future they plan to load shift not only based on time, but also based on location in order to maximize the reduction in carbon emissions.
IN PARTNERSHIP WITH
Google uses Electricity Maps' forecast data to shift the timing of compute tasks running on their hyperscale data centers to times when low-carbon power sources, like wind and solar, are most plentiful.
In the future they plan to load shift not only based on time, but also based on location in order to maximize the reduction in carbon emissions.
IN PARTNERSHIP WITH
Electric vehicle app Tezlab uses Electricity Maps' data to engage users with insights about the carbon impact of their transportation.
Tezlab quantifies the carbon footprint of EV charging, allowing users to visualize reductions in their footprint when they charge at the optimal time, and to purchase trees to offset the emissions they do cause.
IN PARTNERSHIP WITH
THE POWER OF ELECTRICITY MAPS
Get access to the carbon intensity (in gCO2eq/kWH) of electricity consumed in the region taking into account the full life-cycle of electricity production.
We collect data from all around the world and compute the data in an hourly resolution, allowing you to gain granular insights accounting for the variance of the grid.
Get access to the production and consumption breakdowns to understand the full flow and production of the origin of electricity.
By using our flow-tracing methodology, we trace back the origin of electricity accounting for imports and exports. Read more.
Get access to the real-time carbon intensity and power-breakdown to engage your users and make informative decisions.
All our real-time data sources are at an hourly or less frequency and with less than 2 hours of delay.
Our open-source Electricity Maps App visualizes real-time data across the world. Check it out.
Get access to a comprehensive database of hourly carbon carbon intensities and power breakdowns going back up to 6 years depending on the region.
We continuously validate and update our historical data to make sure you have the most accurate and granular data available.
We continuously run our estimation pipeline to identify gaps and supply estimates for any missing hours. This way you can trust that we will always have a value for all hours.
Our forecasts can be used to make carbon efficient decisions—both for your users and your product.
Our forecasts are based on machine learning algorithms trained on our vast database consisting of a wide array of data, such as production, price and weather data.
Get access to forecasted carbon intensity and power breakdowns for up to 24 hours in the future.
All our models are monitored and frequently retrained to reflect changes in the grid.
Marginal data looks at the consequence of deciding to consume electricity at a given time and can be used to calculate and optimize for avoided emissions. Read more.
Get access to forecasted marginal carbon intensity and power-consumption-breakdowns for up to 24 hours in the future.
Our marginal methodology is using machine learning based on our large historical database to predict the marginal emissions and origin of electricity. Read more.
Integrate directly with the Electricity Maps API
Connect your product or service directly to our API to retrieve all relevant electricity data from your regions. Our entire database, including real-time, historical, forecasts as well as marginal data is all available through different endpoints in our API.
The API is simple to use and has been integrated in numerous products and services.
Get tailored preprocessed historical data files
Only interested in historical data? In that case we can supply you with pre-processed sections of historical data for regions of your choosing. The files can be made available in CSV and Excel formats and contain all the data required for your use case.
See example of historical data ↗
Our API offers historical (3-5 years back in time), real-time, and 24hr forecasted carbon electricity consumption and production data with an hourly resolution. You can access the average and marginal carbon intensity, power mix breakdown, and much more; accounting for imports and exports between markets and including estimations in case of delayed or missing data. Have a look at our API documentation to see a complete overview of the data offered, and feel free to contact us if you need data that is not listed here, maybe it is on our roadmap!
You can find all our data sources on our GitHub Repository here. For more information about how we calculate our carbon intensity see our GitHub Wiki here or browse through our blog posts where our methodology is explained in greater detail.
Our clients (Google, Microsoft, etc.) use our data in numerous innovative ways. They use our data to reduce the carbon footprint of data centers, schedule energy-intensive software updates at lower-carbon times, optimize EV charging, empower users of smart home solutions, create new tools to help users quantify their carbon footprint, and many more. Browse through some of our use cases published here.
You can access our API with a subscription. The pricing depends on a number of factors, including the number of countries you’d like to access and the type of data you need (historical, real-time, forecasted, and/or marginal). Our pricing for a subscription to the API starts at 500€/month, please write to us in our contact form detailing the type(s) of data and the geographic coverage you are interested in, and we’ll provide a quote specific to your needs. If you have specific SLA or other requirements, we’re happy to discuss these with you and tailor a solution specific to you.
Yes, we offer a free trial, and you can get access immediately here! The free trial lasts one month from the date of subscription. You can access the carbon intensity and power-breakdown data for more than 160 zones worldwide on different time frames: 24h historical (we offer data reaching back 3-5 years in our commercial offering), real-time, and forecasted data.
We are excited to hear that you want to give us feedback on our app!
Do you want to inform us about:
Next to our commercial API we offer a free API that allows you to access a restricted amount of data for free. After the registration, you will be able to access real-time data for many countries globally and use the data for your personal and non-commercial projects.
To support public research and academia we provide a limited set of data for free. For further information and access to the data please visit our academia page.
We offer hourly electricity production, consumption, and carbon intensity data in 50+ countries and counting, including breakdowns of fuel sources used and imports/exports of power between countries and regions. For some countries, we also offer marginal data (for more information please reach out, we’re covering more and more countries all the time). You can access this data historically, in real-time, or as a forecast with our API. You can learn more about the data we provide here and take a look at a sample output CSV here.
The raw data is retrieved from a variety of public data sources, typically transmission system operators, balancing entities, or market operators, which are listed here.
Our fantastic open-source community from around the world helps us pull the data from these local data sources. Our system then standardizes and aggregates the data to account for imports and exports of power between countries and uses this data to train our marginal and forecast models. The emission factors we use to calculate our carbon intensity data are from the Intergovernmental Panel on Climate Change (IPCC) 5th assessment report. However, since our API returns power production/consumption data as well as carbon intensity data, you can also use your own emission factors to calculate the carbon intensity.
All of our API data is updated every hour for that hour, while our historical data is updated when we are made aware of a data quality issue (we also periodically monitor for these issues). Our forecasts are also updated every hour, meaning that at any given time, our Forecast API returns forecasted values for the next 24 hours.
In addition to writing extensively on our public Github repo about our methodology, we have also published a paper in collaboration with the Technical University of Denmark: Real-time carbon accounting method for the European electricity markets.
Finally, if you’d like to learn more about our Marginal methodology specifically, this post and this post from our blog will be helpful.
We have set ourselves a data standard - we currently only show live, hourly-updated data on the Electricity Maps that is derived from hourly (or even more frequently updated) publicly available data from trusted sources. When a country or region doesn’t have any data on the live map, this is either because the available data has a delay of several hours, our data source was not reporting up to our standards, or because we have not found a public data source that fits our standards.
Much of the data on the Electricity Maps can be attributed to our amazing community of enthusiastic contributors who have found public data sources - join us and help fill in the blanks at our public Github repo!
While we may not have sufficient hourly data to display the region on the map, we have various estimation models in place which may be able to calculate the data you would need depending on your use case. Please get in touch with us and let us know what data you are looking for in which regions and we’ll let you know what the options are.
The Electricity Maps is divided into “zones” which are represented by the boundaries depicted on the Electricity Maps App. These zones correspond to zones in the Electricity Maps API.
Often, one country equals one zone, but there are many instances where this is not the case. Countries are sometimes split into several zones, mainly because our data sources show a significant difference in power production/consumption in different regions of a country (usually this means the country is running on several distinct grids) and we have access to the public data needed to depict this.
Write to us in our contact form and tell us what data (historical, real-time, forecast, and/or marginal) and countries you are interested in. We’ll provide you with a quote and take it from there. For technical questions regarding data access - check out this page, review our documentation or write to us in the contact form. You can see a sample of our data here, and in some cases, we provide trial access for testing whether our data can be integrated into your solution.
Our data currently covers 50+ countries around the world and we are constantly adding new countries to our map. For some countries, we have not yet identified data sources that meet our requirements. If you are aware of any data sources which can help us add a new country to our map, please let us know in our Github Repository. We have an amazing team of contributors and we’d love to continue to grow our community.
To support public research and academia we provide one year of historical data for one country for free, as well as significant discounts for additional data coverage. For further information and access to the data please visit our academia page.
