Building climate zoning in China using supervised classification-based machine learning

The planning, design and construction of buildings are all influenced by climate. Building climate zoning is significant for the formulation of building energy efficiency strategies in various regions. However, there is overlapping among the variables used for building climate zoning (Temp1 and Temp...

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Veröffentlicht in:	Building and environment 2020-03, Vol.171, p.106663, Article 106663
Hauptverfasser:	Yang, Liu, Lyu, Kailin, Li, Honglian, Liu, Yan
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Building climate zoning Building design Building energy efficiency Buildings Classification Climate Climatic conditions Construction Data acquisition Energy efficiency Environmental assessment Learning algorithms Machine learning Mahalanobis distance Stations Statistical analysis Supervised classification algorithm Training Zoning
Online-Zugang:	Volltext
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