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

arXiv 2605.16250 ↗First posted 15 May 2026cs.CL cs.AI cs.DBcited by 0

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Abstract (arXiv)

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

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 17 of its 48 references that are in the map. First posted on arXiv 15 May 2026.

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References · 17

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5 more
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