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Survey details semantic modeling gaps in building energy management

A new survey published on arXiv examines the use of semantic modeling in Building Energy Management (BEM). The paper reviews 60 semantic models and over 20 ontology-based BEM use cases, highlighting challenges in data interoperability due to heterogeneous data models. Findings indicate that while physical and technical building aspects are well-represented, abstract concepts like key performance indicators and control logic are less consistently covered, necessitating custom extensions for BEM applications. AI

RANK_REASON This is a survey paper published on arXiv detailing research findings. [lever_c_demoted from research: ic=1 ai=0.4]

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COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Miracle Aniakor, Vinicius V. Cogo, Pedro M. Ferreira ·

    A Survey on Semantic Modeling for Building Energy Management

    arXiv:2404.11716v2 Announce Type: replace Abstract: Building Energy Management (BEM) is central to reducing energy use and CO2 emissions in the building sector. Although IoT technologies now provide extensive operational data, heterogeneous data models, device descriptions, and c…