Работы, цитирующие эту работу

Работ: 5

Работа: Thermodynamic and thermoeconomic analysis and optimization of a renewable-based hybrid system for power, hydrogen, and freshwater production

1. Machine learning-based optimization and dynamic performance analysis of a hybrid geothermal-solar multi-output system for electricity, cooling, desalinated water, and hydrogen production: A case study

   Mohamed A. Ismail, Ghanim Kadhim Abdul Sada, Abdelfattah Amari +4

   СтатьяThermodynamic and Exergetic Analyses of Power and Cooling SystemsApplied Thermal Engineering2025Цитирований: 3

   ABIABI:AkademIndex/openalex/2025.article.000093

2. Modeling of geothermal tailored CCHP system with heat recovery centered thermal design/analysis; ANN-based optimization and economic study

   Weifeng Ling, Azher M. Abed, Naeim Farouk +5

   СтатьяThermodynamic and Exergetic Analyses of Power and Cooling SystemsCase Studies in Thermal Engineering2024Цитирований: 3

   ABIABI:AkademIndex/openalex/2026.other.233090

3. Sustainable freshwater/energy supply through geothermal-centered layout tailored with humidification-dehumidification desalination unit; Optimized by regression machine learning techniques

   Shuguang Li, Yuchi Leng, Rishabh Chaturvedi +3

   СтатьяThermodynamic and Exergetic Analyses of Power and Cooling SystemsEnergy2024Цитирований: 1

   ABIABI:AkademIndex/openalex/2024.article.000867

4. Waste-to-energy poly-generation scheme for hydrogen/freshwater/power/oxygen/heating capacity production; optimized by regression machine learning algorithms

   Qiuli Li, Yuchi Leng, Azher M. Abed +3

   СтатьяHybrid Renewable Energy SystemsProcess Safety and Environmental Protection2024Цитирований: 0

   ABIABI:AkademIndex/openalex/2024.article.000660

5. Complementary solar–geothermal heat integration for sustainable multigeneration in high renewable-potential regions: Machine learning–based optimization and dynamic modeling

   Abdul Maher khaliq, Abeer D. Algarni, M.A. Ahmed +6

   СтатьяGeothermal Energy Systems and ApplicationsApplied Thermal Engineering2026Цитирований: 0

   ABIABI:AkademIndex/openalex/2026.article.005038