An Analytical View of a Water Heating System Through the Integration of Phase-Change Materials and Artificial Intelligence (Case Study: Amman) is a research study authored by Malek Khalaf Albezuirat. The study presents an analytical assessment of an advanced residential solar water heating system that integrates phase-change materials (PCMs) with artificial intelligence (AI) to enhance thermal energy storage and system performance. Focusing on the climatic conditions of Amman, Jordan, the research analyzes solar radiation, ambient temperature variations, and the selection of suitable PCMs for thermal storage tanks. A comprehensive review of previous studies was combined with numerical simulations to evaluate a novel three-tank solar heating configuration controlled by an AI-based decision-making unit that selects the most appropriate storage material according to ambient temperature conditions. The analytical results indicate that the proposed intelligent system achieves an overall thermal efficiency of 72–88%, substantially outperforming conventional solar water heating systems, which achieved 35–55% efficiency under comparable operating conditions. The study demonstrates the significant potential of integrating AI with phase-change materials to improve energy efficiency, optimize thermal storage management, and support the development of intelligent and sustainable solar heating technologies. Keywords: Solar water heating system, Phase-change materials (PCM), Artificial intelligence (AI), Thermal energy storage, Solar energy, Smart energy systems, Numerical simulation, Renewable energy, Energy efficiency, Sustainable technologies.