AI-driven Battery Portfolio Optimization Software
The Challenge
Reaching Canada’s net-zero targets will require a massive expansion in battery storage, yet market complexity and volatility make it hard for operators to run these assets profitably. This project introduces a new AI-powered software platform that helps energy storage providers make better real-time decisions about when to charge or discharge batteries. By analyzing market prices, grid needs, and battery health in real time, the platform can coordinate multiple assets at once and respond dynamically to maximize revenue and reduce wear. Instead of relying on static tools and managing each battery in isolation, operators gain a centralized system that improves efficiency, scalability, and competitiveness in Alberta’s fast-moving electricity market. A successful proof of concept already showed up to 25% in additional returns.
“Battery energy storage will play a pivotal role in helping Canada achieve its net-zero goals while supporting the growing demand for electricity. However, balancing grid needs, battery operations, and economic performance in a volatile market is a complex challenge. By applying AI to battery optimization, we’re unlocking the full economic and environmental value of energy storage—at the scale the grid requires.”
– Rhonda Jewett, VP of Growth and Operations, Arcus Power
Investment
$
0.9
M
Scale AI investment
$
3
M
Total investment
Partners
