EVENT DOSSIER
On September 7, 2026, arXiv cs.AI published a review article titled “A Survey on Semantic Modeling for Building Energy Management”. This study systematically reviewed the current application status of semantic modeling techniques in building energy management, their core methods, and the challenges they face, aiming to provide theoretical references and practical guidance for the development of related technologies in the future.
该综述文章考察了建筑运行阶段语义建模现状，回顾了 60 个语义模型并分析了超过 20 个基于本体论的建筑能源管理（BEM）用例。研究量化了本体实例化率（OIR）及缺失概念，并引入了本体证据完整性（OEC）指标以评估本体使用情况。研究发现现有语义模型在物理建筑结构、技术系统、传感设备及可观测运行数据方面表现一致，而在关键绩效指标、评估、服务、控制逻辑、优化任务及计算工作流等抽象动态概念覆盖上存在不足。因此，应用 BEM 研究常依赖本体复用、集成、特化、外部继承或特定应用扩展来弥补覆盖与互操作性差距。该综述通过综合这些模式，阐明了现有语义模型的能力并指出了构建更互操作、可泛化及上下文感知的 BEM 系统的方向。