Abstract
The paper proposes an ongoing application and its corresponding use cases for managing user preferences and resource consumption (electric energy, gas, water) in a smart home. The application brings innovation both at front end and back end levels, via intuitive computer-human interaction and ontology-based user modeling, aiming to (1) provide an easy to use graphical user interface in order to assist residential users in managing their resources in a smart home setting; (2) collect resource consumption data and perform analysis on these data for prediction of future consumption rates and costs; (3) make recommendations for the resource management in a smart home; and (4) provide statistics regarding resource consumption management. The concept will be validated with families of residential users from the city of Cluj-Napoca.
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Notes
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ENTROPY Behavioural Intervention Ontology, http://entropy-project.eu.
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Friend-of-a-Friend, http://xmlns.com/foaf/spec/.
References
Fensel, A., Kumar, V., Tomic, S.: End-user interfaces for energy-efficiency semantically enabled smart homes. Energy Effi. J. 7(4), 655–675 (2014)
Martinez-Gil, J.: Realistic user behavior modeling for energy saving in residential buildings. In: DEXA Workshops, pp. 121–125 (2014)
Tomic, S., Fensel, A., Schwanzer, M., Veljovic, M.K., Stefanovic, M.: Semantics for energy efficiency in smart home environments. In: Applied Semantic Web Technologies, chap. 16, pp. 429–454 (2012)
Fensel, A., Tomic, S., Kumar, V., Stefanovic, M., Aleshin, S., Novikov, D.: SESAME-S: Semantic Smart Home System for Energy Efficiency, Energieinformatik (2012)
Tang, Y., Ciuciu, I.: Semantic decision support models for energy efficiency in smart metered homes. In: Proceedings of 11th IEEE International Conference on Ubiquitous Computing and Communications, pp. 1777–1784, UK (2012)
Ciuciu, I., Meersman, R., Dillon, T.: Social network of smart-metered homes and SMEs for grid-based renewable energy exchange. In: Proceedings of IEEE International Conference on DEST-CEE, Italy (2012)
Stavropoulos, T.G., et al.: Rule-based approaches for energy savings in an ambient intelligence environment. Pervasive Mob. Comput. 19, 1–23 (2015)
Klein, L., et al.: Coordinating occupant behavior for building energy and comfort management using multi-agent systems. Autom. Constr. 22, 525–536 (2012)
Tang, Y., Meersman, R., Ciuciu, I.G., Leenarts, E., Pudney, K.: Towards evaluating ontology based data matching strategies. In: Proceedings of 4th IEEE Research Challenges in Information Science (RCIS 2010), pp. 137–146, France (2010)
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Teoca, M., Ciuciu, I. (2018). Ontology-Based Personalized Resource Efficiency Management for Residential Users of Smart Homes. In: Debruyne, C., et al. On the Move to Meaningful Internet Systems. OTM 2017 Workshops. OTM 2017. Lecture Notes in Computer Science, vol 10697. Springer, Cham. https://doi.org/10.1007/978-3-319-73805-5_12
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DOI: https://doi.org/10.1007/978-3-319-73805-5_12
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