Работы, цитирующие эту работу

Работ: 4

Работа: Design and multi-objective optimization of a multi-generation system based on PEM electrolyzer, RO unit, absorption cooling system, and ORC utilizing machine learning approaches; a case study of Australia

1. A geothermal multigeneration system integrating an ORC configuration with an open-feed heater for electricity/H2/cooling production: Techno-economic optimization using a genetic algorithm

   Lel Chang, Ali Basem, Ahmad Almadhor +7

   СтатьяThermodynamic and Exergetic Analyses of Power and Cooling SystemsInternational Journal of Refrigeration2025Цитирований: 2

   ABIABI:AkademIndex/openalex/2025.article.000646

2. 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

3. Dynamic Modeling and Techno-Economic ANN-MOGWO Optimization of a Solar Multigeneration System for Hydrogen Production and Liquefaction

   Yonghui Li, Yasser Elmasry, Saleh Alhumaid +7

   СтатьяThermodynamic and Exergetic Analyses of Power and Cooling SystemsFuel2026Цитирований: 0

   ABIABI:AkademIndex/openalex/2026.article.000092

4. An intelligent multi-objective decision framework for geothermal–LNG assisted co-generation of power, natural gas, and hydrogen

   Bhishma Karki, Dessalegn Ahmed Yeshanew, Ilkhom Khaydarov +7

   СтатьяHybrid Renewable Energy SystemsInternational Communications in Heat and Mass Transfer2026Цитирований: 0

   ABIABI:AkademIndex/openalex/2026.article.011154