To address fragmented business data, limited interaction modalities, substantial demands on manual consultation, and inadequate presentation of low-carbon services in conventional power marketing service halls, this study proposes a human-centered metaverse digital twin framework for power marketing service halls. The framework takes the physical service hall as its operational foundation, uses digital twins to establish a continuously updated correspondence between physical facilities and their virtual representations, and positions digital humans as the primary user-interaction interface. It integrates marketing business systems, cyber-physical system (CPS) energy-management platforms, electricity consumption data collection systems, the State Grid Online platform, RPA process data, and smart home sub-metering data to develop an integrated service environment offering guided tours, business consultation, information visualization, service recommendations, and carbon-footprint displays. In addition, the proposed architecture encompasses a heterogeneous data-fusion model, a mechanism for generating digital-human service scripts, a method for constructing metaverse scenes, and a carbon-footprint assessment component. Together, these elements support a closed-loop workflow extending from the interpretation of customer requests to business responses, scene interaction, and feedback-informed service refinement. The reported evaluation indicates shorter service-completion times, improved question-answering accuracy and confidence calibration, more favorable assessments of immersion and interaction, and stronger capabilities for displaying marketing information and communicating low-carbon energy services. These results are reported outcomes of the study and require confirmation against the underlying evaluation data.
