A recent edie webinar in partnership with Q Energy explored how AI tools are changing the way businesses buy electricity. The session covered AI-driven trading, hourly renewable matching, and smart battery storage as ways to lower both cost and carbon exposure in a volatile market. For companies with large or variable loads, these tools offer a path to more predictable energy bills and a cleaner grid footprint. The discussion focused on practical procurement strategies that use machine learning to time purchases and match consumption with renewable generation hour by hour. Battery storage adds flexibility by shifting load away from peak fossil-heavy periods. The approach aims to cut risk from price swings while making it easier to report verified emissions reductions. For sustainability teams, this is a concrete step beyond buying generic renewable certificates.
