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Modeling the economic dependence between town development policy and increasing energy effectiveness with neural networks. Case study: The town of Zielona Gora

机译:使用神经网络对城镇发展政策与提高能源效率之间的经济依赖性进行建模。案例研究:Zielona Gora镇

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摘要

Due to the changes in legal requirements, growth of energy consumption from different media and prices increase it is necessary to change the attitude of urban consumers. Achieving the objectives of energy policy in each country requires societies to consolidate the confidence that reducing the demand for energy will pay to each household. Creating a positive investment climate, promoting new models and the dissemination of good examples can also lead to economic growth through the use of low-carbon technologies. In many countries, including Poland, the high energy intensity of buildings is seen as a result of the use of low quality materials, low constructing awareness causing the low standard of residential buildings, which is the reason for forcing thermal renovations.
机译:由于法律要求的变化,来自不同媒体的能源消耗的增长和价格的上涨,有必要改变城市消费者的态度。实现每个国家的能源政策目标都需要社会巩固减少能源需求将使每个家庭受益的信心。营造积极的投资环境,推广新模式和传播良好榜样,还可通过使用低碳技术促进经济增长。在包括波兰在内的许多国家中,建筑物的高能源强度被认为是由于使用劣质材料,低建筑意识导致住宅建筑标准低下的结果,这是强制进行热力翻新的原因。

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