Predicting the electricity consumption of urban rail transit based on binary nonlinear fitting regression and support vector regression

标题
Predicting the electricity consumption of urban rail transit based on binary nonlinear fitting regression and support vector regression
作者
关键词
Urban rail transit, Energy consumption analysis, Energy consumption prediction, Support vector regression, Binary nonlinear fitting regression
出版物
Sustainable Cities and Society
Volume 66, Issue -, Pages 102690
出版商
Elsevier BV
发表日期
2020-12-31
DOI
10.1016/j.scs.2020.102690

向作者/读者发起求助以获取更多资源

Reprint

联系作者

Find Funding. Review Successful Grants.

Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.

Explore

Find the ideal target journal for your manuscript

Explore over 38,000 international journals covering a vast array of academic fields.

Search