期刊文献+

住区太阳能潜力预测模型构建与运用研究

Research on Construction and Application of Solar Energy Potential Forecast Model in Residential Areas
下载PDF
导出
摘要 区域中太阳能应用由于涉及因素多且繁杂,其太阳能潜力研究一直是国内外关注的焦点,尤其是住区形态与太阳能潜力之间的关联度,由于影响因子多、数据处理量大,因而潜力计算精度、耗时以及优化都是深入研究的难点。研究旨在运用ELM算法,依据多年对住区形态模型库数据的研究积累,对住区形态与太阳能潜力关系模型进行训练,构建了基于住区形态控制指标数值的住区太阳能辐射模型,并运用该模型解析了居住区关键形态参数对太阳能潜力的影响程度。 Due to the many and complicated factors involved in the application of solar energy in the region,the research on its solar energy potential has always been the focus of attention at home and abroad,especially the correlation degree between residential form and solar energy potential.Due to the large number of influencing factors and data processing capacity,the calculation accuracy,time consumption and optimization of potential are all difficult points for in-depth research.The purpose of the study is to use ELM algorithm,train the relationship model between residential form and solar energy potential based on years of research and accumulation of residential form model database data,build a residential solar energy radiation model based on residential form control index value,and analyze the influence degree of residential key form parameters on solar energy potential using the model.
作者 史洁 周雨彤 马玉敏 朱丹 SHI Jie;ZHOU Yutong;MA Yumin;ZHU Dan
出处 《住宅科技》 2019年第11期53-58,共6页 Housing Science
基金 高密度人居环境与节能教育部重点实验室(同济大学)“基于数字建造的气候可识别性建筑表皮研究”开放课题资助(编号:201830111)
关键词 住区形态 太阳能潜力 预测模型 机器学习 ELM算法 residential form solar energy potential forecast model machine learning ELM algorithm
  • 相关文献

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部