Abstract
To achieve energy self-sufficiency in housing, it is necessary to know the capacity of microgeneration of systems and the real needs of consumption of the users. Each house includes a microgeneration system based on the use of sustainable energy. In theoretical conditions, the design is capable of satisfying entirely its energy needs. However in real conditions there are situations in which it is necessary more energy, and others on the contrary, it produces more energy than necessary. This paper proposes the use of context-aware paradigm that integrate ubiquitous sensor network for the optimization of the energy resource available. The goal is to achieve the maximum energy efficiency during the distribution, in real time and according to energy demand in housings and community equipments. Using context-aware paradigm the system obtains environmental information, determines the profile of consumption of the users and calculates the instantaneous energy needs. This information is obtained from ubiquitous networks and will be used by systems of distribution of the electrical grid of the group of housings. Different paradigms of communication are used that provides the necessary support to achieve near real time. These paradigms are based on the protocols used in the development of the Internet of things.
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References
Adomavicius, G., Tuzhilin, A.: Context-aware recommender systems. In: Ricci, F., Rokach, L., Shapira, B., Kantor, P.B. (eds.) Recommender Systems Handbook, pp. 217–253. Springer, USA (2011)
Baldauf, M., Dustdar, S., Rosenberg, F.: A survey on context-aware systems. Int. J. Ad Hoc Ubiquitous Comput. 2(4), 263–277 (2007)
Byun, J., Hong, I., Kang, B., Park, S.: A smart energy distribution and management system for renewable energy distribution and context-aware services based on user patterns and load forecasting. IEEE Trans. Consum. Electr. 57(2), 436–444 (2011)
Byun, J., Park, S.: Development of a self-adapting intelligent system for building energy saving and context-aware smart services. IEEE Trans. Consum. Electr. 57(1), 90–98 (2011)
Moreno Cano, M.V., Santa, J., Zamora, M.A., Skarmeta Gómez, A.F.: Context-aware energy efficiency in smart buildings. In: Urzaiz, G., Ochoa, S.F., Bravo, J., Chen, L.L., Oliveira, J. (eds.) UCAmI 2013. LNCS, vol. 8276, pp. 1–8. Springer, Heidelberg (2013)
Perera, C., Zaslavsky, A., Christen, P., Georgakopoulos, D.: Context aware computing for the internet of things: a survey. IEEE Commun. Surv. Tutorials 16(1), 414–454 (2014)
Vanolo, A.: Smartmentality: the smart city as disciplinary strategy. Urban Stud. 0042098013494427 (2013)
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Ferrández-Pastor, FJ., Gómez-Trillo, S., García-Chamizo, JM., Valdivieso-Sarabia, R. (2016). Developing a Context Aware System for Energy Management in Urban Areas. In: García, C., Caballero-Gil, P., Burmester, M., Quesada-Arencibia, A. (eds) Ubiquitous Computing and Ambient Intelligence. IWAAL AmIHEALTH UCAmI 2016 2016 2016. Lecture Notes in Computer Science(), vol 10070. Springer, Cham. https://doi.org/10.1007/978-3-319-48799-1_37
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DOI: https://doi.org/10.1007/978-3-319-48799-1_37
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