Abstract
A home energy management system (HEMS) is designed in order to analyze and control the way in which household appliances consumption occurs in a context. The HEMS has four objectives: to reduce consumption, to reduce costs, to reduce peak average ratio and to maximize the users’ comfort. In this paper, the design of HEMS architecture is examined based on the IoT data flow architecture, and considering the constraints of the environment, user preferences and as a whole the context of use. Our architecture incudes a layer that explicity assumes the existance of an intelligent ambient (IA) which lets to denote the elements to obtain and display consumption data from the environment. Also, IA let to monitor data, which helps users for decision making related to consumption in a context where HEMS has been implemented. Also, our architecture allow the specification of users’ context of use, a novel way to define the constraints of HEMS, as novel way to make things simpler and clear.
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Pérez-Camacho, BN., González-Calleros, JM., Rodríguez-Gómez, G. (2019). Design of Home Energy Management System Using IoT Data Flow. In: Ruiz, P., Agredo-Delgado, V. (eds) Human-Computer Interaction. HCI-COLLAB 2019. Communications in Computer and Information Science, vol 1114. Springer, Cham. https://doi.org/10.1007/978-3-030-37386-3_13
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