دانلود مقاله ISI انگلیسی شماره 46684
عنوان فارسی مقاله

داده کاوی و عملکرد فضای سیستم گرمایش در مسکن ارزان قیمت

کد مقاله سال انتشار مقاله انگلیسی ترجمه فارسی تعداد کلمات
46684 2015 13 صفحه PDF سفارش دهید 5440 کلمه
خرید مقاله
پس از پرداخت، فوراً می توانید مقاله را دانلود فرمایید.
عنوان انگلیسی
Data mining of space heating system performance in affordable housing
منبع

Publisher : Elsevier - Science Direct (الزویر - ساینس دایرکت)

Journal : Building and Environment, Volume 89, July 2015, Pages 1–13

کلمات کلیدی
داده کاوی - گرمایش فضا - مسکن ارزان قیمت - رفتار مستاجر - خوشه بندی - درخت های تصمیم گیری
پیش نمایش مقاله
پیش نمایش مقاله داده کاوی و عملکرد فضای سیستم گرمایش در مسکن ارزان قیمت

چکیده انگلیسی

The space heating in residential buildings accounts for a considerable amount of the primary energy use. Therefore, understanding the operation and performance of space heating systems becomes crucial in improving occupant comfort while reducing energy use. This study investigated the behavior of occupants adjusting their thermostat settings and heating system operations in a 62-unit affordable housing complex in Revere, Massachusetts, USA. The data mining methods, including clustering approach and decision trees, were used to ascertain occupant behavior patterns. Data tabulating ON/OFF space heating states was assessed, to provide a better understanding of the intermittent operation of space heating systems in terms of system cycling frequency and the duration of each operation. The decision tree was used to verify the link between room temperature settings, house and heating system characteristics and the heating energy use. The results suggest that the majority of apartments show fairly constant room temperature profiles with limited variations during a day or between weekday and weekend. Data clustering results revealed six typical patterns of room temperature profiles during the heating season. Space heating systems cycled more frequently than anticipated due to a tight range of room thermostat settings and potentially oversized heating capacities. The results from this study affirm data mining techniques are an effective method to analyze large datasets and extract hidden patterns to inform design and improve operations.

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