用生成式AI让电费账单可读，还能算出每度电的碳排放。
A Generative AI Framework for Intelligent Utility Billing CO 2 Analytics and Sustainable Resource Optimisation
- 用AI生成自然语言账单，结合约束解码确保准确
- 用Transformer模型预测次日用电量，给出置信区间
- 适合电力公司做碳排放透明化与智能调度
配电企业如今需提供客户可读的账单，为每度电附上可验证的碳排放数据，并根据电网压力和排放限制调度负荷。我们提出一个端到端框架，整合四项生产级能力：基于生成式AI的代理，从结构化数值输入生成自然语言账单，采用约束解码策略；基于Transformer的预测器，提供带校准分位数带的次日用电量预估；支持多目标优化的资源调度模块；以及符合监管要求的可解释性报告系统。该框架在实际电网数据集上验证，相比传统方法提升碳核算精度37%，账单可读性评分提高42%（基于人工评估）。框架支持实时响应，已部署于某区域电网试点系统。
原文摘要 · Abstract (English)
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
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