Dynamic software for a global BESS developer
Akaysha Energy runs a demanding and complex business. Founded in Australia in 2021, it has rapidly become a global developer and operator of large-scale battery energy storage systems (BESS), with projects spanning Australia, Japan, the United States and Germany.
The company uses its knowledge of energy markets, capital markets, project development and trading to maximise value across every stage of the BESS lifecycle.
Recently, Akaysha enlisted the services of Gurobi Optimization — a company supplying AI software designed to solve highly complicated problems — to enhance forecasting accuracy, operational efficiency and market optimisation across its growing international portfolio. Gurobi products have been used in applications as diverse as gene sequencing and nuclear engineering.
Gurobi’s mathematical optimisation technology enables Akaysha to make faster, data-driven decisions across millions of market variables each day. This helps the company improve both long-term revenue forecasting and real-time operational performance — ensuring its battery assets deliver optimal returns in a dynamic energy market.
“Optimising a battery energy storage system in a dynamic energy market involves millions of decisions daily,” said Tim O’Sullivan, General Manager – Energy Market Software Development, Akaysha Energy.
“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.”
By using Gurobi’s tools, Akaysha has strengthened its ability to test sensitivities in project investment cases, assess risk–reward profiles for contracted positions, and analyse trading performance post-event, allowing the company to continuously monitor and improve its global operations.
“We’re excited to support Akaysha Energy as they help shape the future of clean energy,” said Duke Perrucci, CEO of Gurobi Optimization. “At Gurobi, our mission is to help organisations 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.
“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,” Perrucci explained.
“It’s rewarding to see how our technology can support innovators like Akaysha in accelerating the clean energy transition.”
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