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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• 作者：Marta Skiba ; ^{M.Skiba@aiu.uz.zgora.pl} ; Maria Mró ; wczyńska ^{M.Mrowczynska@ib.uz.zgora.pl} ; Anna Bazan-Krzywoszańska ^{A.Bazan@aiu.uz.zgora.pl}
• 关键词：Energy efficiency increase in housing ; Multi-layer neural networks ; Radial neural networks ; Urban energy policy ; Space policy ; Energy poverty
• 刊名：Applied Energy
• 出版年：2017
• 出版时间：15 February 2017
• 年：2017
• 卷：188
• 期：Complete
• 页码：356-366
• 全文大小：4013 K
• 卷排序：188

文摘

Artificial neural networks (AI) are suitable to estimate the distribution of potential energy savings. Improving the energy efficiency of buildings helps to reduce energy poverty. Improving energy efficiency requires monitoring of estates and districts of cities.