Analysis of hourly cooling load prediction accuracy with data-mining approaches on different training time scales

标题
Analysis of hourly cooling load prediction accuracy with data-mining approaches on different training time scales
作者
关键词
-
出版物
Sustainable Cities and Society
Volume 51, Issue -, Pages 101717
出版商
Elsevier BV
发表日期
2019-07-27
DOI
10.1016/j.scs.2019.101717

向作者/读者发起求助以获取更多资源

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