Building climate zoning in China using supervised classification-based machine learning
暂无分享,去创建一个
Liu Yang | Yan Liu | Honglian Li | Kailin Lyu | Liu Yang | Yan Liu | Honglian Li | Kailin Lyu
[1] T. McMahon,et al. Updated world map of the Köppen-Geiger climate classification , 2007 .
[2] Chris C.S. Lau,et al. Climate classification and passive solar design implications in China , 2007 .
[3] D Daniel Cóstola,et al. Performance-based validation of climatic zoning for building energy efficiency applications , 2018 .
[4] Ali Malkawi,et al. Investigating natural ventilation potentials across the globe: Regional and climatic variations , 2017 .
[5] Xianliang Zhang,et al. Temporal change of climate zones in China in the context of climate warming , 2013, Theoretical and Applied Climatology.
[6] Alexandros Iosifidis,et al. Semi-supervised Classification of Human Actions Based on Neural Networks , 2014, 2014 22nd International Conference on Pattern Recognition.
[7] R. Knutti,et al. Regional climate change patterns identified by cluster analysis , 2010 .
[8] Meng Cai,et al. Classification of Local Climate Zones Using ASTER and Landsat Data for High-Density Cities , 2017, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.
[9] Shengli Wu,et al. Clustering-Based Ensemble Learning for Activity Recognition in Smart Homes , 2014, Sensors.
[10] Daisuke Sumiyoshi,et al. Optimization of passive design measures for residential buildings in different Chinese areas , 2012 .
[11] Manuel Carpio,et al. Climatic zoning for building construction in a temperate climate of Chile , 2018, Sustainable Cities and Society.
[12] D Daniel Cóstola,et al. Comparison of three climatic zoning methodologies for building energy efficiency applications , 2017 .
[13] Dan Wang,et al. An integrated local climatic evaluation system for green sustainable eco-city construction: A case study in Shenzhen, China , 2017 .
[14] Liu Yang,et al. Climate classifications and building energy use implications in China , 2010 .
[15] Liu Yang,et al. Changes in bioclimates in different climates around the world and implications for the built environment , 2012 .
[16] R. Shankar,et al. Thermal comfort design zone delineation for India using GIS , 2015 .
[17] Servando Álvarez Domínguez,et al. Climatic zoning and its application to Spanish building energy performance regulations , 2008 .
[18] Peijun Shi,et al. Climate change regionalization in China (1961–2010) , 2014, Science China Earth Sciences.
[19] B. Rudolf,et al. World Map of the Köppen-Geiger climate classification updated , 2006 .
[20] Franz Rubel,et al. Observed and projected climate shifts 1901-2100 depicted by world maps of the Köppen-Geiger climate classification , 2010 .
[21] A. Strahler,et al. Application of the MODIS global supervised classification model to vegetation and land cover mapping of Central America , 2000 .
[22] Alex J. Cannon,et al. A closer look at novel climates: new methods and insights at continental to landscape scales , 2017, Global change biology.
[23] D Daniel Cóstola,et al. Review of methods for climatic zoning for building energy efficiency programs , 2017 .
[24] Manuel Carpio,et al. Assessing the applicability of various climatic zoning methods for building construction: Case study from the extreme southern part of Chile , 2019, Building and Environment.
[25] W. Köppen,et al. Versuch einer Klassifikation der Klimate : vorzugsweise nach ihren Beziehungen zur Pflanzenwelt , 1900 .
[26] Jianxi Huang,et al. Forest Cover Classification from Multi-temporal MODIS Images in Southeast Asia Using Decision Tree , 2011, CCTA.
[27] Danny H.W. Li,et al. Impact of climate change on energy use in the built environment in different climate zones – A review , 2012 .
[28] Wen-Shing Lee,et al. Using climate classification to evaluate building energy performance , 2011 .
[29] Jing Liu,et al. Changes in climate regionalization indices in China during 1961–2010 , 2014, Advances in Atmospheric Sciences.
[30] Xiao Zheng,et al. A new climatic classification of afforestation in Three-North regions of China with multi-source remote sensing data , 2015, Theoretical and Applied Climatology.
[31] M. Zhao,et al. Parameters influencing the energy performance of residential buildings in different Chinese climate zones , 2015 .
[32] Deliang Chen,et al. Using the Köppen classification to quantify climate variation and change: An example for 1901–2010 , 2013 .
[33] F. Moral,et al. Climatic zoning for the calculation of the thermal demand of buildings in Extremadura (Spain) , 2017, Theoretical and Applied Climatology.
[34] Khambadkone Naveen Kishore,et al. A bioclimatic approach to develop spatial zoning maps for comfort, passive heating and cooling strategies within a composite zone of India , 2018 .
[35] Baizhan Li,et al. A hierarchical climatic zoning method for energy efficient building design applied in the region with diverse climate characteristics , 2019, Energy and Buildings.
[36] R. Knight,et al. Supervised classification of human microbiota. , 2011, FEMS microbiology reviews.
[37] Shusheng Wang,et al. Definition of new thermal climate zones for building energy efficiency response to the climate change during the past decades in China , 2019, Energy.
[38] D. Massart,et al. The Mahalanobis distance , 2000 .
[39] F. Garde,et al. Development of climatic zones and passive solar design in Madagascar , 2009 .
[40] P. Block,et al. Optimal Cluster Analysis for Objective Regionalization of Seasonal Precipitation in Regions of High Spatial–Temporal Variability: Application to Western Ethiopia , 2016 .
[41] Zhaolin Gu,et al. Local climate zone classification with different source data in Xi’an, China , 2018, Indoor and Built Environment.