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Ish: State of the Art of Machine Learning Models in Energy Systems, a Systematic Review
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
MaqolaThermodynamic and Exergetic Analyses of Power and Cooling SystemsApplied Thermal Engineering20253 iqtibosABIA multi-heat recovery approach integrated with LNG regasification in a geothermal-driven multigeneration system: Techno-economic insights and machine learning-based optimization
Djamel Ghernaout, Hakim S. Sultan Aljibori, Sarminah Samad +5
MaqolaThermodynamic and Exergetic Analyses of Power and Cooling SystemsApplied Thermal Engineering20252 iqtibosABI