کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
243721 501934 2012 10 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Algorithmic acquisition of diagnostic patterns in district heating billing system
موضوعات مرتبط
مهندسی و علوم پایه مهندسی انرژی مهندسی انرژی و فناوری های برق
پیش نمایش صفحه اول مقاله
Algorithmic acquisition of diagnostic patterns in district heating billing system
چکیده انگلیسی

An application of algorithmic exploration of billing data is examined for fault detection, diagnosis (FDD) based on evaluation of present state and detection of unexpected changes in energy efficiency of buildings. Large data sets from district heating (DH) billing systems are used for construction of feature space, diagnostic rules and classification of the buildings according to their energy efficiency properties. The algorithmic approach automates discovering knowledge about common, thus accepted changes in buildings’ properties, in equipment and in habitants’ behavior reflecting progress in technology and life style. In this article implementation of Data Mining and Knowledge Discovery (DMKD) method in supervision system with exemplary results based on real data is presented. Crucial steps of data processing influencing diagnostic results are described in details.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Applied Energy - Volume 91, Issue 1, March 2012, Pages 146–155
نویسندگان
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