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Julia for Energy

Julia is the fastest, easiest and most secure language for energy. Julia is being used today by utility companies, energy traders, energy research laboratories and others.

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Energy firms use Julia to run models up to 100x faster with 90% fewer lines of code

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Pumas by JuliaHub Logo - Pumas is a comprehensive platform for pharmaceutical modeling and simulation, providing a single tool for the entire drug development pipeline

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Who Is Using Julia for Energy?

ARPA-E (Advanced Research Projects Agency - Energy) is a project of the US Department of Energy using Julia for a number of projects including collaborations with Mitsubishi Electric Research Laboratories, Carnegie Mellon University, MIT, Los Alamos National Laboratory, Quantumscape and others.

Électricité de France’s Jérôme Collet uses Julia to forecast electricity demand.

Fugro Roames is a large utility using Julia machine learning tools to identify network failures and potential failures 100x faster.

AOT Energy is an energy trading firm using Julia for options pricing and market simulations in the energy sector.

PSR uses Julia for energy market simulation, analytics and planning.

LAMPS PUC-Rio uses Julia for applied energy optimization research.

Los Alamos National Laboratory uses Julia for critical infrastructure optimization.

Invenia uses Julia to optimize the North American electrical grid.

Tangent Works uses Julia for real-time energy forecasting.

Other Julia users in the energy industry include Chevron, ExxonMobil and all of the US Department of Energy National Laboratories: Ames, Argonne, Brookhaven, Fermi, Frederick, Idaho, Lawrence Berkeley, Lawrence Livermore, Los Alamos, National Energy Technology Laboratory, National Renewable Energy Laboratory, Oak Ridge, Pacific Northwest, Princeton Plasma Physics, Sandia, Savannah River, SLAC National Accelerator and Thomas Jefferson National Accelerator.

Interested in Using Large Datasets in Julia?

Watch our webinar to see how to improve the process with JuliaHub.


Single solution from pre-trial to launch in a drug development workflow, obviating the need for multiple languages, products, and solutions.


Julia provides faster, more efficient optimization using JuMP and other optimization packages.

10x to 1000x faster than other traditional products. Works seamlessly on GPUs.


Julia is the fastest language for machine learning, artificial intelligence, risk analysis, Monte Carlo simulations and other energy uses.

Much easier to develop and use models. Easy for a new user to learn. Easy to parallelize.

Ease of Use

Julia is easy to learn and easy to code. Spend your time improving energy delivery and efficiency - not writing code.

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Solve the Two Language Problem

Stop prototyping in one language and deployment in a second language. Julia delivers the speed of C with the ease of use of Python.

Leverage any computing environment - including the world’s most powerful supercomputers, TPUs and GPUs in the cloud or your own cluster.

High Performance Computing

Leverage GPUs, TPUs, supercomputers and other advanced hardware easily and seamlessly with Julia.

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Robust package Environment

There are more than 6,000 registered Julia packages, including the best optimization packages available in any language.

What our products can do for the energy sector

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More efficient modeling and faster risk analysis

JuliaTeam allows you to manage private and public packages for your entire team

Run simulations faster and cheaper in the cloud with JuliaHub

Our Customer Journey

JuliaHub Modeling Platform - Energy Industry customer Journey


Learn about our products and how you can leverage AI


Implement our solution at your preferred pace


Experiment with a new project in Pumas & Julia

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    Educate your team through scheduled training




    Scale your results in the cloud with JuliaHub

Meet JuliaHub

Watch our webinar “JuliaHub 101”

Feel the Power - Julia for Energy


Learn how JuliaHub can help address your energy organization's needs. Speak with one of our team members.