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4 works

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

  1. Optimizing novel thermal energy storage systems: Enhancing melting efficiency with tubes, stands, and advanced machine learning techniques

    Ahmad Almadhor, Ali Basem, Pradeep Kumar Singh +7

    ArticlePhase Change Materials ResearchJournal of Energy Storage20255 citations
    ABI

  2. Improving energy absorption capacity in a thermal energy storage system for domestic heating applications using an integrated machine learning/numerical approach

    Xianzhi Tang, Xin Sun, Sinan Q. Salih +7

    ArticlePhase Change Materials ResearchApplied Thermal Engineering20251 citations
    ABI

  3. Triangular-rib structural mastery for enhanced latent heat storage system: Artificial neural network optimization of geometry, orientation, and cost-effectiveness

    Jun-bo Mao, Ali Basem, Hyder H. Abed Balla +7

    ArticlePhase Change Materials ResearchJournal of Energy Storage20261 citations
    ABI

  4. Base-integrated thermal storage system: Enhancing phase change material melting performance through geometric innovation and artificial neural network-genetic algorithm optimization

    Jun-bo Mao, Ali Basem, Hyder H. Abed Balla +7

    ArticlePhase Change Materials ResearchInternational Communications in Heat and Mass Transfer20260 citations
    ABI