Abstract
With the rise of the Internet of Things and Smart Home industries, there is a real opportunity to increase the energy efficiency of buildings and improve the indoor experience of their occupants. However, as these industries continue to grow, so does the number of data sources in the energy sector in recent years. This can lead to suboptimal exploitation of these data and even to dualities and misunderstandings. As a result, semantic interoperability in the energy sector is now more necessary than ever. Combining event processing to handle data quantities, semantics to manage numerous data streams, and background ontologies will increase prompt identification of all information. In this context, this short review aims to explore state-of-the-art semantic ontologies and their utilization in the energy sector, with an additional emphasis on the indoor environment and air quality. Furthermore, a semantically enriched framework for a smart home will be proposed.
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This work is partially supported by the PRECEPT project, funded by the EU H2020 under Grant Agreement No. 958284.
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Tzouvaras, C. et al. (2023). Semantic Interoperability for Managing Energy-Efficiency and IEQ: A Short Review. In: Maglogiannis, I., Iliadis, L., Papaleonidas, A., Chochliouros, I. (eds) Artificial Intelligence Applications and Innovations. AIAI 2023 IFIP WG 12.5 International Workshops. AIAI 2023. IFIP Advances in Information and Communication Technology, vol 677. Springer, Cham. https://doi.org/10.1007/978-3-031-34171-7_19
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