RT Journal Article
T1 Methodology for Designing an Electricity Demand System in the Context of IoT Household
A1 Perez Camacho, Blanca Nydia
A1 Rodriguez Gomez, Gustavo
A1 González Calleros, Juan M.
A1 Martínez López, Francisco José
AB Many efforts have been made to create scenarios whereby interconnecting IoT can be used.The primary objective of these efforts has been to centralize its access as a single list and to monitorits use and trigger its different functionalities from apps. However, few efforts have addressed theproblem of electricity consumption from those devices in the context of a residence. Existing datasetsfor machine predictive systems are focused on data analytics for global consumption but neglect theuse of such solutions by the common citizen as a means of re-educating our citizens and optimizingelectricity consumption. Without considering the environmental impact and the urgent need toaddress this growing global emergency, ordinary citizens require systems that help them be aware ofwhat they consume and thus aspire to make a change. In this work, we propose a methodology thatbuilds on the formal mathematical modeling and development of a simulator to substitute the needto collect real data from real world context of use, as well as an interactive system that integrates thewhole process. By adding this module to the architecture our prior work, this work is ready for usein real-life scenarios where electrical consumption could be significantly reduced
PB MDPI
SN 2076-3417 (electrónico)
YR 2022
FD 2022
LK http://hdl.handle.net/10272/20833
UL http://hdl.handle.net/10272/20833
LA eng
NO Perez-Camacho, B. N., Rodriguez Gomez, G., Gonzalez-Calleros, J. M., & Martinez-López, F. J. (2022). Methodology for Designing an Electricity Demand System in the Context of IoT Household. In Applied Sciences (Vol. 12, Issue 7, p. 3387). MDPI AG. https://doi.org/10.3390/app12073387
NO National Council of Science and Technology, CONACYT Mexico, National Scholarships forstudies of Postgraduate in High Quality Institutions
DS Repositorio Institucional de la Universidad de Huelva
RD 30 may 2026