Gongxing Yan

Работ: 3

Luzhou Key Laboratory of Intelligent Construction and Low-carbon Technology, Luzhou, 646000, China

1. Advancing solar thermal utilization by optimization of phase change material thermal storage systems: A hybrid approach of artificial neural network (ANN)/Genetic algorithm (GA)

   Longyi Ran, Gongxing Yan, Vishal Goyal +8

   СтатьяPhase Change Materials ResearchCase Studies in Thermal Engineering2024Цитирований: 4

   ABIABI:AkademIndex/openalex/2024.article.000269

2. Optimizing and investigating the charging time of phase change materials in a compact-latent heat storage using pareto front analysis, artificial neural networks, and numerical simulations

   Zhongbiao Zheng, Gongxing Yan, Azher M. Abed +7

   СтатьяPhase Change Materials ResearchJournal of Energy Storage2024Цитирований: 4

   ABIABI:AkademIndex/openalex/2026.other.112142

3. 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

   СтатьяRecycling and Waste Management TechniquesEnergy2025Цитирований: 1

   ABIABI:AkademIndex/openalex/2025.article.000198