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Potential of Bayesian additive regression trees for predicting daily global and diffuse solar radiation in arid and humid areas 期刊论文
发表期刊: RENEWABLE ENERGY. 出版年: 2021, 卷号: 177, 页码: 148-163
作者:  Wu, Wei;  Tang, Xiaoping;  Lv, Jiake;  Yang, Chao;  Liu, Hongbin
收藏  |  浏览/下载：32/0  |  提交时间：2021/11/29
Sunshine duration  Seasonal variation  Input combination  Machine learning  
Prediction of evaporation in arid and semi-arid regions: a comparative study using different machine learning models 期刊论文
发表期刊: ENGINEERING APPLICATIONS OF COMPUTATIONAL FLUID MECHANICS. 出版年: 2020, 卷号: 14, 期号: 1, 页码: 70-89
作者:  Yaseen, Zaher Mundher;  Al-Juboori, Anas Mahmood;  Beyaztas, Ufuk;  Al-Ansari, Nadhir;  Chau, Kwok-Wing;  Qi, Chongchong;  Ali, Mumtaz;  Salih, Sinan Q.;  Shahid, Shamsuddin
收藏  |  浏览/下载：28/0  |  提交时间：2020/03/23
evaporation  predictive model  machine learning  arid and semi-arid regions  best input combination  
Improving solar radiation estimation in China based on regional optimal combination of meteorological factors with machine learning methods 期刊论文
发表期刊: ENERGY CONVERSION AND MANAGEMENT. 出版年: 2020, 卷号: 220
作者:  He, Chuan;  Liu, Jiandong;  Xu, Fang;  Zhang, Teng;  Chen, Shang;  Sun, Zhe;  Zheng, Wenhui;  Wang, Runhong;  He, Liang;  Feng, Hao;  Yu, Qiang;  He, Jianqiang
收藏  |  浏览/下载：37/0  |  提交时间：2021/01/07
Solar radiation  Machine learning  Climatic zones  Input combination  Meteorological factor