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A Generative AI Framework for Intelligent Utility Billing CO 2 Analytics and Sustainable Resource Optimisation
May 15, 2026 ยท Grace Period ยท + Add venue
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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