Data driven insights for parabolic trough solar collectors: Artificial intelligence-based energy and exergy performance analysis
Artificial intelligence (AI) algorithms can potentially contribute to optimizing energy and exergy outputs in renewable resources to increase efficiencies and reduce environmental risk. This study utilized tree-based, linear, and non-linear regression techniques to predict the energy and exergy effi...
| 出版年: | JOURNAL OF CLEANER PRODUCTION |
|---|---|
| 主要な著者: | , , , , , , , , , |
| フォーマット: | 論文 |
| 言語: | English |
| 出版事項: |
ELSEVIER SCI LTD
2024
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| 主題: | |
| オンライン･アクセス: | https://www-webofscience-com.uitm.idm.oclc.org/wos/woscc/full-record/WOS:001184903100001 |