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

翻译：配电公用事业公司如今需要提供客户能够真正理解的账单，为每千瓦时售电量附加可辩护的碳排放数值，并根据电网压力与排放约束安排负荷。我们提出一个端到端框架，将四种生产级能力统一在同一架构之下：一个基于约束解码策略、从结构化数值输入自动生成每位客户自然语言账单语句的生成式AI代理；一个基于Transformer的预测器，可提供带有校准分位区间的日前用电估计。