Electricity Maps AI
Electricity Maps / electricitymaps.com
Real-time and forecast electricity carbon intensity data for 150+ regions enabling carbon-aware computing.
Pricing
Free
Free plan
Yes
Category
Climate & Sustainability AI
Platforms
2
Rating
4.7 (280)
Free plan
Yes
API access
Yes
Open source
Yes
Platforms
2
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What is Electricity Maps AI?
Electricity Maps provides AI energy intelligence for real-time and forecasted electricity carbon intensity across 150+ countries. Features include carbon-aware computing (shifting compute loads to low-carbon windows), renewable energy availability forecasting, and lifecycle emissions analysis. Used by Google, Stripe, and Vestas to optimise when to run energy-intensive workloads.
How Electricity Maps AI works
Electricity Maps AI runs as ml and forecasting software built around data workflows. Users typically start with a prompt, upload, or connected data source, and the underlying model handles the heavy lifting before returning a result you can refine or export. It's available on web and api, with API access for teams that want to embed it into their own products.
What makes it worth shortlisting
The capabilities that matter most for teams evaluating Electricity Maps AI.
Real-time electricity carbon intensity data
Practical for technology companies, energy companies, and sustainability teams wanting real-time electricity carbon data for carbon-aware computing and reporting. without extra setup.
24-hour carbon intensity forecasting AI
Practical for technology companies, energy companies, and sustainability teams wanting real-time electricity carbon data for carbon-aware computing and reporting. without extra setup.
Carbon-aware computing shift recommendations
Practical for technology companies, energy companies, and sustainability teams wanting real-time electricity carbon data for carbon-aware computing and reporting. without extra setup.
150+ country and region coverage
Practical for technology companies, energy companies, and sustainability teams wanting real-time electricity carbon data for carbon-aware computing and reporting. without extra setup.
Google, Stripe, Vestas customers
Practical for technology companies, energy companies, and sustainability teams wanting real-time electricity carbon data for carbon-aware computing and reporting. without extra setup.
Renewable energy availability tracking
Practical for technology companies, energy companies, and sustainability teams wanting real-time electricity carbon data for carbon-aware computing and reporting. without extra setup.
Best use cases
Who should use it
Pros
- Only real-time carbon intensity for 150+ regions
- Google and Stripe validation
- Open-source community builds trust
- 24-hour forecast enables shift scheduling
- EV charging optimisation use case
Cons
- Commercial pricing not transparent
- Coverage quality varies by region
- Carbon-aware computing still niche
- Data accuracy depends on grid reporting
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Is it worth the price?
Free API tier (limited); commercial custom; enterprise custom
Model
Freemium
Starting price
Free
Free trial
No
Tools like Electricity Maps AI
WattTime (similar carbon-aware API)|ENTSO-E Transparency Platform (European grid data)|EIA (US energy data)|National Grid ESO (UK grid carbon data)
Electricity Maps AI vs Persefoni AI
A side-by-side look at the closest alternative in this category.
Technical & deployment info
Key facts about model providers, platforms, and team support.
Model Provider
Proprietary + Open Source
Models
Electricity Maps AI
Platforms
Web, API
Deployment
Cloud
Integrations
AWS, Azure, Google Cloud, GitHub, Vestas, EV charging networks
Team Collaboration
No
Launch Year
2017
Security & privacy
Compliance signals and data-handling notes as reported by the vendor.
GDPR DPA; open-source community data layer; API data under commercial licence
What users are saying
Verified reviews from signed-in users, stored in the backend and averaged into this tool's rating.
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Common questions about Electricity Maps AI
Editorial Verdict
Should you use Electricity Maps AI?
Electricity Maps is the most important AI energy data platform for carbon-aware computing -- real-time and forecast data enables hyperscalers to shift workloads to renewable energy windows.
Last verified July 1, 2025.
