The AI Behind Smarter Battery Storage and Energy Trading

Battery storage is now central to the renewable energy transition. The challenge is no longer simply building large-scale assets, but making them perform in volatile, highly regulated energy markets.

Jürgen Mayerhofer, Co-Founder and CEO of enspired, shares how AI is being deployed to trade and optimise grid-scale batteries in near real time. His platform runs thousands of optimisation cycles per asset each day, balancing revenue generation with battery health, market complexity and system stability.

The conversation moves beyond theory into execution — how battery owners actually make money, why mathematical complexity has become a competitive advantage, and why publishing audited revenue data matters in a young and fast-evolving market. It also looks ahead to the ambition of enabling 50GW of flexible energy capacity by 2035, and why storage is only one part of a much broader flexibility landscape.

For investors, operators, policymakers and technology leaders watching the evolution of global energy markets, this is a practical discussion about where AI is delivering measurable impact.