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New software is designed to empower energy industry to measure, manage, and operationalize insights to help reduce carbon emissions more accurately. Software engineered to help improve greenhouse gas (GHG) calculation accuracy on scope 1 gas turbines by as much as 33% using reconciliation algorithm and Digital Twin technology powered by machine learning (ML) and data analytics.

SAN RAMON, Calif.

New state-of-the-art Artificial Intelligence (AI)/Machine Learning (ML) technology developed by GE scientists recognized with a prestigious Manufacturing Leadership Award (MLA) by the National Association of ManufacturersGE’s AI/ML tool uses a digital twin of the wind turbine logistics process to accurately predict and streamline logistics costsApplication of AI/ML could enable a 10% reduction in logistics costs, which would represent a global cost savings to the wind industry of up to $2.6 billion annually by 2030 based on current industry growth projections