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4 works

Work: Artificial neural network-based optimization of heat absorption process of phase change materials in a novel-designed finned-plate latent heat storage system

  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. Heat absorption/release efficiency betterment of phase change material inside a shell-and-tube latent heat storage system under six different conditions of tube and fins

    Peng Duan, Azher M. Abed, Rishabh Chaturvedi +4

    ArticlePhase Change Materials ResearchJournal of Energy Storage20243 citations
    ABI

  3. Advanced latent thermal energy storage design featuring three dividers: Optimizing multi-enclosure system with ANN-driven models and hybrid phase change material integration

    Zhonghong Li, Lin Wu, Mohamed Shaban +7

    ArticlePhase Change Materials ResearchJournal of Energy Storage20251 citations
    ABI

  4. 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