Работы, цитирующие эту работу

Работ: 3

Работа: Machine learning-based multi-objective optimization and thermal assessment of supercritical CO2 Rankine cycles for gas turbine waste heat recovery

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   ABIABI:AkademIndex/openalex/2024.article.000399

2. Data-driven optimization and 4E analysis of a novel LNG-integrated gas turbine-based system using ANN-GA hybrid approaches: Enhanced hydrogen production and CO2 capture for energy applications

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3. The impact of volumetric flow rate adjustments on pressure drop and pumping power in parabolic trough collectors

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   СтатьяSolar Thermal and Photovoltaic SystemsNext research.2025Цитирований: 0

   ABIABI:AkademIndex/openalex/2025.article.001763