Akaysha Energy adopts Gurobi tech to optimise global battery assets
Akaysha Energy is adopting mathematical optimisation technology from Gurobi Optimization to support the performance and management of its large-scale battery energy storage systems across multiple markets worldwide. The company, based in Australia, operates battery facilities in Australia, Japan, the United States, and Germany, and is focused on enhancing its forecasting and operational efficiency.
Forecasting improvements
Akaysha Energy is developing and operating battery projects to support energy networks in each region. By integrating Gurobi's optimisation platform, Akaysha is making improvements to how it forecasts future revenues, evaluates operational risks, and makes real-time decisions within complex electricity markets.
According to Tim O'Sullivan, General Manager - Energy Market Software Development at Akaysha Energy:
"Optimising a battery energy storage system in a dynamic energy market involves millions of decisions daily. Gurobi gives us a robust framework to develop, test, and deploy optimisation models that improve the speed and accuracy of our forecasting and performance assessments," said Tim O'Sullivan, General Manager - Energy Market Software Development, Akaysha Energy.
Market strategy
The company is using the technology to examine sensitivities in project investment models and identify risk profiles for contracts, alongside reviewing trading strategies. With optimisation models that process millions of market variables every day, Akaysha seeks to maximise value from its battery assets and refine its performance management tools. This includes analysis of how its assets have performed under certain market conditions and post-event reviews to support continuous improvement.
Operational enhancements
Through the roll-out of Gurobi's solutions, Akaysha aims to accelerate its operational efficiency and strengthen returns from existing and new battery projects. The batteries managed by the company are designed to participate in wholesale energy markets, where rapid responses and informed strategies can generate increased revenue and enhance grid stability.
Duke Perrucci, CEO of Gurobi Optimization, commented:
"We're excited to support Akaysha Energy as they help shape the future of clean energy. At Gurobi, our mission is to help organizations make better decisions. Our technology uses advanced mathematics to evaluate millions of possibilities and quickly find the best one-turning complexity into clarity so businesses can move faster and perform better," said Perrucci.
Perrucci added: "For Akaysha Energy, that means using decision intelligence to optimise how their battery systems operate in dynamic market conditions-improving forecasting accuracy, refining trading strategies, and ensuring their assets deliver maximum value. It's rewarding to see how our technology can support innovators like Akaysha in accelerating the clean energy transition."
Global application
Founded in 2021, Akaysha Energy has emerged as a major operator and developer of battery projects in Australia. The company is expanding its approach internationally as demand for efficient energy storage grows in support of renewable energy targets. The use of mathematical optimisation is intended to assist Akaysha in adapting to different regulatory environments and electricity market designs found in each country of operation.
Gurobi delivers a commercially available mathematical optimisation engine which supports users in analysing large datasets and performing scenario analysis for real-world decision making. The technology is applied by organisations in a range of sectors to drive operational model development and strategic planning.
"Together, Gurobi and Akaysha Energy are demonstrating how advanced optimisation can improve the performance and reliability of renewable energy projects, supporting smarter and more efficient operations across the sector," said Perrucci.
