**6. Conclusion**

PCMs are integral to TES and TMA, offering significant benefits across industries by storing and releasing energy to manage grid demands, improve cooling systems, and manage energy spikes. Widely applied in electronic cooling, data center regulation, energy-efficient architectural design, and renewable energy systems, the effectiveness of PCMs is dependent on their reliability and stability. Addressing supercooling and compatibility through additives is crucial for their broader application. ML models have become vital in enhancing PCM performance, aiding in selection, compatibility assessment, supercooling mitigation, and thermal behavior prediction. These models optimize TES system performance and facilitate the discovery of novel PCMs, driving sustainability in engineering systems. The collaboration between PCMs and ML offers potential for significant advancements in energy efficiency and environmental sustainability, marking a promising direction for research and development toward an eco-friendly future across various sectors.
