English

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

Computation and Language 2026-05-18 v1 Artificial Intelligence Databases Machine Learning

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

Keywords

Cite

@article{arxiv.2605.16250,
  title  = {A Generative AI Framework for Intelligent Utility Billing CO 2 Analytics and Sustainable Resource Optimisation},
  author = {Pavan Manjunath and Thomas Pruefer},
  journal= {arXiv preprint arXiv:2605.16250},
  year   = {2026}
}
R2 v1 2026-07-22T07:15:07.069Z