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A publicação pode ser exportada nos seguintes formatos: referência da APA (American Psychological Association), referência do IEEE (Institute of Electrical and Electronics Engineers), BibTeX e RIS.

Exportar Referência (APA)
Mataloto, B., Calé, D., Carimo, K., Ferreira, J. & Resende, R. (2021). 3D IoT dystem for environmental and energy consumption monitoring system. Sustainability. 13 (3)
Exportar Referência (IEEE)
B. M. Mataloto et al.,  "3D IoT dystem for environmental and energy consumption monitoring system", in Sustainability, vol. 13, no. 3, 2021
Exportar BibTeX
@article{mataloto2021_1721613127752,
	author = "Mataloto, B. and Calé, D. and Carimo, K. and Ferreira, J. and Resende, R.",
	title = "3D IoT dystem for environmental and energy consumption monitoring system",
	journal = "Sustainability",
	year = "2021",
	volume = "13",
	number = "3",
	doi = "10.3390/su13031495",
	url = "https://www.mdpi.com/journal/sustainability"
}
Exportar RIS
TY  - JOUR
TI  - 3D IoT dystem for environmental and energy consumption monitoring system
T2  - Sustainability
VL  - 13
IS  - 3
AU  - Mataloto, B.
AU  - Calé, D.
AU  - Carimo, K.
AU  - Ferreira, J.
AU  - Resende, R.
PY  - 2021
SN  - 2071-1050
DO  - 10.3390/su13031495
UR  - https://www.mdpi.com/journal/sustainability
AB  - Energy consumption in buildings depends on the local climate, building characteristics, and user behavior. Focusing on user interaction, this research work developed a novel approach to monitoring and interaction with local users by providing in situ context information through graphic descriptions of energy consumption and indoor/outdoor environment parameters: temperature, luminosity, and humidity, which are routinely measured in real-time and stored to identify consumption patterns and other savings actions. To involve local users, collected data are represented in 3D color representation using building 3d models. A simplified color scale depicts environmental comfort (low/comfortable/high temperature/relative humidity) and energy consumption (above/below usual patterns). We found that these indices induced user commitment and increased their engagement and participation in saving actions like turning off lights and better management of air conditioning systems.
ER  -