کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
380854 1437455 2013 9 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Analysis of electricity consumption profiles in public buildings with dimensionality reduction techniques
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر هوش مصنوعی
پیش نمایش صفحه اول مقاله
Analysis of electricity consumption profiles in public buildings with dimensionality reduction techniques
چکیده انگلیسی

The analysis of the daily electricity consumption profile of a building and its correlation with environmental factors makes it possible to examine and estimate its electricity demand. As an alternative to the traditional correlation analysis, a new approach is proposed to provide a detailed and visual analysis of the correlations between consumption and environmental variables. Since consumption profiles can be characterized by many components, the input space is high dimensional. For that reason, it is necessary to apply dimensionality reduction techniques that enable a projection of these data onto an easily interpretable 2D space. In this paper, several dimensionality reduction techniques are tested in order to determine the most appropriate one for the stated purpose. Later, the proposed approach uses the chosen algorithm to analyze the influence of the environmental variables on the electricity consumption in public buildings located at the University of León. Finally, electricity profiles from all buildings are compared with regard to two aspects, the magnitude and dynamics of the consumption.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Engineering Applications of Artificial Intelligence - Volume 26, Issue 8, September 2013, Pages 1872–1880
نویسندگان
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