کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
4911139 | 1428102 | 2017 | 11 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Modeling the economic dependence between town development policy and increasing energy effectiveness with neural networks. Case study: The town of Zielona Góra
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی انرژی
مهندسی انرژی و فناوری های برق
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چکیده انگلیسی
This article presents the distribution of market potential of savings for energy efficient renovations in construction on the example of a medium-sized city of Zielona Gora (Poland), which may be representative of cities in the country and in the world. The potential was determined on the basis of technology and a year of a construction of the buildings, technologies used, kind of development and dominating kind of heat and power supply. The calculated potential was presented as the value of the investments necessary to reduce energy consumption by 1Â kWÂ h/m2. Artificial neural networks, which represent a sophisticated modeling technique and are among the computational intelligence methods were used to compute a distribution of potential. The article makes use of possibilities of multi-layer artificial neural networks trained by back propagation error technique and neural networks with radial basis functions, which is a new feature in the analysis of the energy potential.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Applied Energy - Volume 188, 15 February 2017, Pages 356-366
Journal: Applied Energy - Volume 188, 15 February 2017, Pages 356-366
نویسندگان
Marta Skiba, Maria MrówczyÅska, Anna Bazan-KrzywoszaÅska,