A Generative AI Framework for Intelligent Utility Billing CO 2 Analytics and Sustainable Resource Optimisation

May 15, 2026 ยท Grace Period ยท + Add venue

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Authors Pavan Manjunath, Thomas Pruefer arXiv ID 2605.16250 Category cs.CL: Computation & Language Cross-listed cs.AI, cs.DB, cs.LG Citations 0
Abstract
Distribution utilities are now expected to deliver bills that customers can actually read attach a defensible carbon number to every kWh sold and schedule load against grid stress and emissions constraints We propose an end-to-end framework that unifies four production-grade capabilities under one architectural roof a generative-AI agent that drafts each customers natural-language billing statement from structured numeric inputs under a constrained decoding policy a transformer-based forecaster that supplies the day-ahead consumption estimate with calibrated quantile bands
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