Ushbu ishga iqtibos qilgan ishlar

3 ta ish

Ish: Optimizing energy efficiency and emission reduction: Leveraging the power of machine learning in an integrated compressed air energy storage-solid oxide fuel cell system

1. Artificial intelligence-powered study of a waste-to-energy system through optimization by regression-centered machine learning algorithms

   Gongxing Yan, Xiaoqiang Yang, Mohamed Shaban +7

   MaqolaRecycling and Waste Management TechniquesEnergy20251 iqtibos

   ABIABI:AkademIndex/openalex/2025.article.000198

2. Optimizing waste-to-energy conversion of banana peel biomass-based scheme using metaheuristic particle swarm optimization (PSO) algorithm

   Wei Fang, Naeim Farouk, Azher M. Abed +7

   MaqolaBiofuel production and bioconversionEnergy20250 iqtibos

   ABIABI:AkademIndex/openalex/2025.article.000641

3. Optimization of Ex/energy efficiencies in an integrated compressed air energy storage system (CAES) using machine learning algorithms: A multi-objective approach based on analysis of variance

   Amr S. Abouzied, Naeim Farouk, Mohamed Shaban +7

   MaqolaEnergy Load and Power ForecastingEnergy20250 iqtibos

   ABIABI:AkademIndex/openalex/2025.article.000866