کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
1510142 | 1511173 | 2014 | 10 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Principal Component Analysis for Monitoring Electrical Consumption of Academic Buildings
ترجمه فارسی عنوان
تجزیه و تحلیل مولفه اصلی برای نظارت بر مصرف برق ساختمان های دانشگاهی
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کلمات کلیدی
Multiway principal component analysisPrincipal component analysis - تحلیل مولفههای اصلی یا PCAFault detection and diagnostics - تشخیص گسل و تشخیصData mining - دادهکاویOccupant behavior - رفتار اشغالگرModelling - مدل سازیBuilding energy consumption - مصرف انرژی ساختمانElectricity consumption - مصرف برقMonitoring - نظارت
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی انرژی
انرژی (عمومی)
چکیده انگلیسی
In this paper Principal Component Analysis (PCA) is proposed for monitoring electric consumption of building. PCA allows modeling correlations between independent variables (weather, calendar) and energy consumption at different time scales (hourly, daily, weekly monthly). Multiway principal component analysis (MPCA) is used to model time dependencies of variables as it is commonly done in batch process monitoring. This approach allows defining simple statistic indices T2 and SPE to be used in monitoring charts. These indices are used to detect abnormal behaviours at selected time scales. After detection, contribution analysis is performed to isolate variables responsible of such misbehaviour. Exploitation of such models, obtained during normal operating conditions, can be used to detect both faults in sensors and misbehaviours in consumption patterns with respect to independent variables. The paper presents the methodology and illustrates it in a case study focused on academic buildings situated in the Campus of the University of Girona.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Energy Procedia - Volume 62, 2014, Pages 555-564
Journal: Energy Procedia - Volume 62, 2014, Pages 555-564
نویسندگان
Llorenç Burgas, Joaquim Melendez, Joan Colomer,