Julia is used for energy optimization, electricity grid failure detection, energy trading and a host of applications in energy by utility companies, private energy trading firms, and in research by a number of government research labs
Every year, more than 12 terawatts of power are used worldwide to power everything from automobiles and household appliances to streetlights, supercomputers and industrial factories. More than 10% of world GDP is spent on energy and more than 90% of this energy comes from fossil fuels (oil, gas and coal), followed by renewables (water, wind, solar, biomass and geothermal) – the fastest growing share – and by nuclear energy.
Energy has a few unique features that make Julia a great choice for trading, supply and demand forecasting, network management and more:
As a result, energy traders, managers and others throughout the energy industry require software that is:
Which is why they rely on Julia.
Uses Julia to value swing options, perform Monte Carlo simulations and options valuations for energy trading
Uses Julia to manage the North American electrical grid, and is an active contributor to open source Julia, including: Arbiter.jl, BayesianOptimization.jl, DeferredFutures.jl, DateParser.jl, Holidays.jl, Interfaces.jl, FTPClient.jl, Mocking.jl, StackTraces.jl, TimeZones.jl, VirtualArrays.jl
Using Julia for machine learning for energy management. Tangent Works provides grid managers and distributors with tools and a proprietary Tangent Information Manager (TIM) platform for real-time energy forecasting and management
Uses Julia’s machine learning capabilities to identify points of failure and potential failure throughout the electrical grid
A global electricity and natural gas consulting, analytics and technology firm that uses Julia to develop and license analytical tools for planning and energy market simulation using multistage stochastic optimization techniques
Is a research group using Julia for energy optimization
Modeling language for Mathematical Optimization (linear, mixed-integer, conic, semidefinite, nonlinear)
The Bloomberg APIs provide easy access to real-time market data as well as historic data. The data can be directly loaded and analysed effortlessly.
Use Julia as a computational backend for data in Excel
Julia Futures which are initialized when written to
Handle automatic parsing of DateTime strings
Julia library for handling holidays
An implementation of interfaces for Julia
A Julia FTP client using LibCURL supporting FTP and FTP over SSL
Allows Julia function calls to be temporarily overloaded for purpose of testing
IANA time zone database access for the Julia programming language
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