کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
6730802 504018 2016 14 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
A framework for allocating personalized appliance-level disaggregated electricity consumption to daily activities
ترجمه فارسی عنوان
چارچوب برای تخصیص مصرف برق جدا شده در دستگاه های خانگی به فعالیت های روزانه
کلمات کلیدی
آگاهی انرژی، مصرف مبتنی بر رفتار، مصرف الکتریسیته مصرفی، فعالیت های روزانه، به رسمیت شناختن فعالیت
موضوعات مرتبط
مهندسی و علوم پایه مهندسی انرژی انرژی های تجدید پذیر، توسعه پایدار و محیط زیست
چکیده انگلیسی
Residential and commercial buildings account for more than 74% of total annual electricity consumption in the United States. Studies have shown that occupants' awareness of their behaviors in consuming electricity encourages them to change their unsustainable behaviors and improves the sustainable ones. As behaviors impact the ways that daily activities are performed, in order to develop a personalized appliance level model of an occupant's behavior, precise activity recognition is required. In this paper, we introduce a novel framework to allocate personalized appliance-level disaggregated electricity consumption to daily activities. In our framework, using ontology-based approach, the input appliance usage data is first separated into categories of non-overlapping activity events. The separated data sets are then segmented to detect activity segments, which are next mapped into activity classes using a trained classification model. To evaluate the performance of our presented framework, an experimental validation was carried out in three test bed apartment units. Results of validation showed a total F-measure value of 0.97 for segmentation and an average accuracy of 93.41% for activity recognition. Following the activity recognition, the approximate electricity consumption associated with the recognized activities was estimated and the results of each test bed unit were compared with the others.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Energy and Buildings - Volume 111, 1 January 2016, Pages 337-350
نویسندگان
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