Работы, цитирующие эту работу

Работ: 6

Работа: Pareto optimal design of a finned latent heat thermal energy storage unit using a novel hybrid technique

1. Accurate prediction of the rheological behavior of MWCNT-Al2O3/water-ethylene glycol nanofluid with metaheuristic-optimized machine learning models

   Yi Ru, Ali B.M. Ali, Karwan Hussein Qader +5

   СтатьяNanofluid Flow and Heat TransferInternational Journal of Thermal Sciences2025Цитирований: 1

   ABIABI:AkademIndex/openalex/2025.article.000663

2. A methodical approach for the design of thermal energy storage systems in buildings: An eight‐step methodology

   Samira Rahnama, Mahmood Khatibi, Alessandro Maccarini +14

   СтатьяPhase Change Materials ResearchEnergy Storage2024Цитирований: 0

   ABIABI:AkademIndex/openalex/2024.article.001745

3. Intelligent design of lithium-ion battery thermal management systems for electric vehicles: Integration of gene expression programming modeling and multi-objective atomic orbital search optimization

   Hangxin Liu, Ahmad Alkhayyat, Normurot Fayzullaev +7

   СтатьяAdvanced Battery Technologies ResearchJournal of Power Sources2026Цитирований: 0

   ABIABI:AkademIndex/openalex/2026.article.000089

4. An intelligent multi-objective decision framework for geothermal–LNG assisted co-generation of power, natural gas, and hydrogen

   Bhishma Karki, Dessalegn Ahmed Yeshanew, Ilkhom Khaydarov +7

   СтатьяHybrid Renewable Energy SystemsInternational Communications in Heat and Mass Transfer2026Цитирований: 0

   ABIABI:AkademIndex/openalex/2026.article.011154

5. Integration of ANN tuned by the chameleon swarm algorithm and multi-objective besiege and conquer algorithm for emission and performance optimization of diesel/methanol engines

   Biju Theruvil Sayed, Zyad Shaaban, Hamad AlMohamadi +7

   СтатьяAdvanced Combustion Engine TechnologiesInternational Communications in Heat and Mass Transfer2026Цитирований: 0

   ABIABI:AkademIndex/openalex/2026.article.016047

6. Intelligent design of latent heat storage systems with bio-inspired branched vascular fins using a hybrid framework integrating PSO/IGWO-ANN, multi-objective sunflower optimization, and the COPRAS method

   Chou‐Yi Hsu, Biju Theruvil Sayed, Yosuef Alotaibi +7

   СтатьяGreenhouse Technology and Climate ControlInternational Communications in Heat and Mass Transfer2026Цитирований: 0

   ABIABI:AkademIndex/openalex/2026.article.021059