检索结果-南通市图书馆

Simulation of Daily diffuse solar radiation Based on Three Machine Learning Models

Computer Modeling in Engineering & Sciences 2020年第4期123卷 49-73页

作者： Jianhua Dong Lifeng Wu Xiaogang Liu Cheng Fan Menghui Leng Qiliang Yang Faculty of Agriculture and Food Kunming University of Science and TechnologyKunming650500China School of Hydraulic and Ecological Engineering Nanchang Institute of TechnologyNanchang330099China Jiangxi Key Laboratory of Hydrology-Water Resources and Water Environment Nanchang Institute of TechnologyNanchang330099China.

solar radiation is an important parameter in the fields of computer modeling,engineering technology and energy *** paper evaluated the ability of three machine learning models,i.e.,Extreme Gradient Boosting(XGBoost),Support Vector Machine(SVM)and Multivariate Adaptive Regression Splines(MARS),to estimate the daily diffuse solar radiation(Rd).The regular meteorological data of 1966-2015 at five stations in China were taken as the input parameters(including mean average temperature(Ta),theoretical sunshine duration(N),actual sunshine duration(n),daily average air relative humidity(RH),and extra-terrestrial solar radiation(Ra)).And their estimation accuracies were subjected to comparative *** three models were first trained using meteorological data from 1966 to ***,the 2001-2015 data was used to test the trained machine learning *** results show that the XGBoost had better accuracy than the other two models in coefficient of determination(R2),root mean square error(RMSE),mean bias error(MBE)and normalized root mean square error(NRMSE).The MARS performed better in the training phase than the testing phase,but became less accurate in the testing phase,with the R2 value falling by 2.7-16.9%on *** contrast,the R2 values of SVM and XGBoost increased by 2.9-12.2%and 1.9-14.3%,*** trailing slightly behind the SVM at the Beijing station,the XGBoost showed good performance at the rest of the stations in the two *** the training phase,the accuracy growth is small but *** addition,the XGBoost had a slightly lower RMSE than the SVM,a signal of its edge in ***,the three machine learning models can estimate the daily Rd based on local inputs and the XGBoost stands out for its excellent performance and stability.

关键词： diffuse solar radiation extreme gradient boosting multivariate adaptive regression splines statistical indices support vector machine

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Study on the evaluation method of diffuse radiation models——taking 5 typical cities in China as examples

引用

Energy and Built Environment 2023年第2期4卷 236-243页

作者： Gang Su Shuangyang Zhang Wanxiang Yao Mengru Hu Haodong Hao School of Control and Mechanical Engineering Tianjin Chengjian UniversityTianjin 300384China Anhui Province Key Laboratory of Intelligent Building and Building Energy Saving Anhui Jianzhu UniversityHefei 230022China Building Environment and Energy Application Engineering Department Tianjin Key Laboratory of Civil Structure Protection and Reinforcement Tianjin Chengjian UniversityTianjin 300384China State Key Laboratory of Clean Energy Utilization Zhejiang UniversityZhejiang 310027China China Water Resources Beifang Investigation Designand Research Co.LtdTianjin 300202China

diffuse solar radiation models play an extremely important role in solar photothermal utilization,resource assess-ment and energy consumption simulation,*** accuracy of these diffuse solar radiation models usually need to be evaluated by various statistical *** these statistical parameters,the Global Performance In-dex(GPI)has been extensively employed in recent years because of its comprehensiveness and wide *** paper takes five cities in China as representatives of 5 typical climate regions,and 12 solar scattered radia-tion models are fitted with the meteorological data of 5 *** on the comparative analysis of the existing GPI calculation methods,this paper points out that there are some defects in the existing GPI,and modifies the existing GPI based on the comprehensive consideration of statistical parameters,normalization preprocessing of statistical parameters,unified evaluation direction of parameters,weight redistribution of statistical parameters,and adjustment of extreme coefficient.12 types of new GPI are established in this paper,and the performance of diffuse solar radiation models are compared based on these *** rationality of GPI corrective measures is analyzed by means of the method reasonable index(MRI).The results show that the GPI calculation method(N10)which takes five corrective measures has the best performance,and the accuracy of the existing GPI can be improved by 13.33 to 65%.

关键词： diffuse solar radiation Evaluation method Global performance index Method reasonable index

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

欢迎您,

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

在线全文

在线全文

请选择保存的检索档案：

请选择收藏分类：

通借通还

欢迎您,

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

在线全文

在线全文

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：