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Electricity Maps

Electricity Maps shows the real time electricity mix and carbon intensity of power grids around the world. For each zone, the map gives the share of sources such as wind, solar, hydro, nuclear, gas, coal and oil, the carbon intensity in grams of CO2 equivalent per kilowatt hour and the share of low carbon generation.

For cultural, economics and LCA studies.

Power flows between neighboring zones are displayed, so imports and exports are visible, and the history of the last hours and days can be viewed. Forecasts of carbon intensity are available for many zones, which supports scheduling of energy-intensive jobs such as battery charging, compute loads or industrial processes at times with cleaner power.

Data comes from grid operators and public sources and is processed by the provider, so coverage and update interval differ by country, and some zones use estimated values. The map is free to view without an account, while longer history, API access and commercial use are subject to separate plans.

Disciplines: Energy, Sustainability, Carbon accounting, Power grid operations, Data center operations, Climate science.
Free alternative to ENTSO-E Transparency Platform, WattTime, Grid Status.
Electricity Maps compared with ENTSO-E Transparency Platform, WattTime and Grid Status
Electricity MapsENTSO-E Transparency PlatformWattTimeGrid Status
Quantity provided: Carbon intensity of consumed electricity for each zone, calculated with a flow-tracing method that accounts for imports and exports between grids.Quantity provided: Market and system data published by European operators: load, generation, transmission, balancing, outages, congestion management and system operations. It is a data publication, not a carbon accounting product.Quantity provided: The marginal CO2 signal (MOER), which is the emissions rate of the generators that respond when demand changes. It covers operating combustion CO2 only, not upstream or lifecycle emissions.Quantity provided: Electricity supply, demand and price data such as fuel mix, load, forecasts and locational marginal prices from North American grid operators. Emissions factors are not the focus.
Geographic coverage: Over 200 zones, with data drawn from more than 100 sources.Geographic coverage: Pan-European, based on EU Transparency Regulation 543/2013 and maintained by ENTSO-E.Geographic coverage: Global, with more than 200 countries and territories, usually split into balancing regions or subregions.Geographic coverage: U.S. and Canadian grid operators (for example CAISO, ERCOT, PJM, MISO, NYISO, ISONE, SPP, IESO, AESO), plus the EIA in the open source library.
Time resolution and horizon: History from 2017, real time data and 72 hour forecasts.Time resolution and horizon: Five minute granularity, history of at least two years, and a rolling 72 hour forecast.Time resolution and horizon: Historical and real time data through a hosted API with more than 500 datasets, including load forecasts.
Method and processing: Peer reviewed flow-tracing methodology, described by the provider as open source with a community of contributors.Method and processing: Empirical model based on a technique from peer reviewed literature, validated by the provider research team. Imports, exports and renewable curtailment are estimated.Method and processing: The open source Python library returns minimally processed operator data. The hosted API is recommended by the project for production use.
Access and licence: A REST API with a free tier that developers can use for applications outside their commercial workplace. Commercial use requires a paid arrangement.Access and licence: Data is publicly available. An open RESTful API suits limited volumes near real time, while bulk downloads through the web interface require registration and login.Access and licence: Access is through an API with separate data plans. Plan terms were not stated on the signal description page.Access and licence: The library is released under the BSD-3-Clause licence. The hosted API needs an API key and its free tier is limited to 500,000 rows per month.

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