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

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Computer Science > Computation and Language

arXiv:2605.16250 (cs)
[Submitted on 15 May 2026]

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

View a PDF of the paper titled A Generative AI Framework for Intelligent Utility Billing CO 2 Analytics and Sustainable Resource Optimisation, by Pavan Manjunath and 1 other authors
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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
Subjects: Computation and Language (cs.CL); Artificial Intelligence (cs.AI); Databases (cs.DB); Machine Learning (cs.LG)
Cite as: arXiv:2605.16250 [cs.CL]
  (or arXiv:2605.16250v1 [cs.CL] for this version)
  https://doi.org/10.48550/arXiv.2605.16250
arXiv-issued DOI via DataCite (pending registration)

Submission history

From: Pavan Manjunath Dr [view email]
[v1] Fri, 15 May 2026 17:52:57 UTC (953 KB)
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