Работы, цитирующие эту работу

Работ: 2

Работа: Energy, exergy, and exergy-economic optimization of a multigeneration system driven by geothermal primary heat source using multi-objective genetic algorithm (MOGA)

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   ABIABI:AkademIndex/openalex/2026.article.013639

2. Machine learning-optimized geothermal multi-generation with DFOFC/ERC/RO/DHU for cooling/heating from low-to-medium temperature heat sources

   Yonghui Li, Ali Basem, Hyder H. Abed Balla +7

   СтатьяGeothermal Energy Systems and ApplicationsInternational Communications in Heat and Mass Transfer2026Цитирований: 0

   ABIABI:AkademIndex/openalex/2026.article.017525