Generative AI Framework for Utility Billing and Carbon Analytics
A new generative AI framework for intelligent utility billing, CO2 analytics, and sustainable resource optimization has been proposed. The framework unifies four production-grade capabilities: a generative-AI agent that drafts natural-language billing statements from structured numeric inputs under constrained decoding, a transformer-based forecaster for day-ahead consumption estimates with calibrated quantile bands, and additional components for carbon number attachment and load scheduling against grid stress and emissions constraints. The work is categorized under Computer Science > Computation and Language on arXiv.
Key facts
- Framework unifies four production-grade capabilities under one architectural roof.
- Includes generative-AI agent for natural-language billing statements.
- Uses constrained decoding policy for billing statement generation.
- Transformer-based forecaster provides day-ahead consumption estimates.
- Forecaster supplies calibrated quantile bands.
- Aims to attach defensible carbon number to every kWh sold.
- Schedules load against grid stress and emissions constraints.
- Published on arXiv under Computer Science > Computation and Language.
Entities
Institutions
- arXiv