کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
264167 504094 2010 7 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Forecasting building energy consumption with hybrid genetic algorithm-hierarchical adaptive network-based fuzzy inference system
موضوعات مرتبط
مهندسی و علوم پایه مهندسی انرژی انرژی های تجدید پذیر، توسعه پایدار و محیط زیست
پیش نمایش صفحه اول مقاله
Forecasting building energy consumption with hybrid genetic algorithm-hierarchical adaptive network-based fuzzy inference system
چکیده انگلیسی

There are several ways to forecast building energy consumption, varying from simple regression to models based on physical principles. In this paper, a new method, namely, the hybrid genetic algorithm-hierarchical adaptive network-based fuzzy inference system (GA-HANFIS) model is developed. In this model, hierarchical structure decreases the rule base dimension. Both clustering and rule base parameters are optimized by GAs and neural networks (NNs). The model is applied to predict a hotel’s daily air conditioning consumption for a period over 3 months. The results obtained by the proposed model are presented and compared with regular method of NNs, which indicates that GA-HANFIS model possesses better performance than NNs in terms of their forecasting accuracy.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Energy and Buildings - Volume 42, Issue 11, November 2010, Pages 2070–2076
نویسندگان
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