Data mining methods of healthy indoor climate coefficients for comfortable well-being

Q4 Environmental Science
G. Behrens, Klaus Schlender, Florian Fehring
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引用次数: 0

Abstract

Abstract This article provides information about a currently developed measurement and analysis system ‘Smart Monitoring’, which is used on scientific project in terms of healthy indoor air coefficients, as well as the processing of the collected data for machine learning algorithms. The target is to reduce CO2 emissions caused by wrong ventilation habits in building sector after renovation process in older buildings.
健康室内气候系数的数据挖掘方法
摘要本文提供了有关当前开发的测量和分析系统“智能监测”的信息,该系统用于健康室内空气系数的科学项目,以及为机器学习算法处理收集的数据。目标是在旧建筑翻新后,减少建筑行业错误的通风习惯造成的二氧化碳排放。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Ochrona Srodowiska i Zasobow Naturalnych
Ochrona Srodowiska i Zasobow Naturalnych Environmental Science-Environmental Science (all)
CiteScore
1.00
自引率
0.00%
发文量
6
审稿时长
26 weeks
期刊介绍: The journal ENVIRONMENTAL PROTECTION AND NATURAL RESOURCES is a publication which addresses the issues of broadly understood environmental protection and publishes research and review papers. All these articles and papers are peer-reviewed. Interdisciplinary studies published by specialists in various fields present reciprocal relationships between the reactions taking place in the environment which are connected with natural element cycle and at the same time reflect both natural processes and human impacts. Themes of the works also concern socio-economic and technical issues at the UE, national, regional and local levels in the context of sustainable development. The main aim of the journal is to promote high level research in all aspects of environment and natural resources protection.
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