General Information
    • ISSN: 1793-821X
    • Frequency: Quarterly (2013-2014); Bimonthly (Since 2015)
    • DOI: 10.18178/JOCET
    • Editor-in-Chief: Prof. Haider F. Abdul Amir
    • Executive Editor: Ms. Jennifer Zeng
    • Abstracting/ Indexing: EI (INSPEC, IET), Electronic Journals Library, Chemical Abstracts Services (CAS), Ulrich's Periodicals Directory, Google Scholar, ProQuest.
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School of Science and Technology Universiti Malaysia Sabah, Malaysia.
I would like to express my appreciation to all authors, reviewers and edtors.
JOCET 2016 Vol.4(5): 367-370 ISSN: 1793-821X
DOI: 10.18178/JOCET.2016.4.5.314

Buildings Sustainability — The Non-Intrusive Load-Identification System Contribution

M. Felgueiras, N. Cruz, F. Martins, and R. Martins
Abstract—Buildings are responsible for an important share of the global energy consumed with the associated consequences at economic and environmental level. To overcome this actual concern several objectives were put in perspective, being one of them the energetic performance of systems and appliances. Efficiency depends on working on optimal conditions and user behavior. Monitoring of the energy consumption of each electric load is important but the use of decentralized energy is not feasible at present due to the huge number of loads connected to the electric grid. An alternative consists on the use of a centralized measurement device able to identify loads. This work presents a measurement infrastructure that have, among others, the possibility to make the identification of electrical loads data will be used to improve the energetic performance of households and buildings and increase the sustainability of the energy system.

Index Terms—Building sustainability, electric energy, non-intrusive load-identification.

M. Felgueiras and F. Martins are with the School of Engineering, Polytechnic Institute of Porto, Portugal (e-mail:,
N. Cruz and R. Martins are with the Evoleo Technologies, Porto, Portugal (e-mail:,


Cite:M. Felgueiras, N. Cruz, F. Martins, and R. Martins, "Buildings Sustainability — The Non-Intrusive Load-Identification System Contribution," Journal of Clean Energy Technologies vol. 4, no. 5, pp. 367-370, 2016.

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