e-journal

Energy-Responsive Aggregate Context for Energy Saving in a Multi-Resident Environment

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Human activity is among the critical information for a context-aware energy saving system since knowing what activities are undertaken is important for judging if energy is well spent. Most of the prior works on energy saving do not make the best of context-awareness especially in a multiuser environment to assist
the energy saving system. In addition, they often ignore whether appliances are operating implicitly or explicitly related to the context. These factors may compromise the practicality and acceptability
of most of the currently available energy saving systems, thus failing to meet real user needs. Therefore, we propose Energy-Responsive Aggregate Context (ERAC) to model multi-resident activities and their associated energy consumption. Based on the relationship, implicit or explicit, between a given appliance and its associated context, an energy saving system and its users can better determine whether the power consumed by the appliance is wasted. Our experimental results demonstrate the effectiveness of the proposed approach.
Note to Practitioners—This paper wasmotivated by the practical problem of enabling a traditional energy-saving (ES) system to know what activities are being undertaken in a multi-resident environment.
This problem is important for industrial practitioners to improve product readiness for home automation related applications since it helps us put users in the center of an automation process for providing more attentive services. Existing approaches focused more on detecting locations or presence of a single resident to achieve simple yet less human-centric energy saving.Moreover, they often ignored the relationship between users’ ongoing activities and the associated energy consumption, which may limit
other potentials for energy saving and cannot scale to multiuser solutions. To address these issues, the authors proposed a new approach to recognizemulti-resident activities and to analyze various
energy consumption information associated with the activities. The approach can be integrated into a home gateway to change the operating modes of those appliances which are not or less related to
the undertaken activities, thus achieving energy saving without interfering with users. The approach therefore can improve energy efficiency and the quality of ES services, and both are important
factors for real-life scenarios. Preliminary evaluations suggest that the approach is feasible and can achieve energy saving by about 30%.However, since we care more about what activities are undertaken
rather than who undertakes the activities (i.e., ignoring data association), this may lead to the limitation of non-personalizable ES services, but the limitation can be mitigated by incorporating
user identification techniques such as RFIDs, face recognition, etc. In future research, experiments in real and more houses will be conducted for more realistic evaluations. In addition to the application
in a smart home, we can extend the approach to smart office, hospital, and other context-aware applications.
Index Terms—Energy-responsive aggregate context (ERAC), energy-tagged aggregate context (ETAC), multi-resident activity recognition.

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Informasi Detail

Judul Seri

IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING

No. Panggil

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Penerbit

New York : IEEE., 2014

Deskripsi Fisik

IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING, VOL. 11, NO. 3, JULY 2014

Bahasa

English

ISBN/ISSN

1545-5955

Klasifikasi

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Tipe Isi

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Tipe Media

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Tipe Pembawa

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Edisi

VOL. 11, NO. 3, JULY 2014

Subjek

TEKNIK

Info Detail Spesifik

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Pernyataan Tanggungjawab

Yuli/Agus

Versi lain/terkait

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