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Research PaperResearchia:202605.18004

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

Pavan Manjunath

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 ...

Submitted: May 18, 2026Subjects: AI; Artificial Intelligence

Description / Details

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


Source: arXiv:2605.16250v1 - http://arxiv.org/abs/2605.16250v1 PDF: https://arxiv.org/pdf/2605.16250v1 Original Link: http://arxiv.org/abs/2605.16250v1

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Submission Info
Date:
May 18, 2026
Topic:
Artificial Intelligence
Area:
AI
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