The integration of expert systems, such as artificial intelligence (AI) technologies, to improve photovoltaic (PV) equipment maintenance and evaluation, which is crucial for renewable energy facilities. The chapter starts with an emphasis on the growing importance of PV equipment and the role of AI in optimizing its performance. The chapter explains the core concepts and components of PV equipment, identifying common maintenance challenges that affect system efficiency. The study then reviews modern AI technologies applicable to PV equipment, highlighting their potential benefits and challenges. Furthermore, it underscores the significant impact of inadequate maintenance on overall system efficiency, presenting real-world case studies that illustrate common issues. AI solutions for maintenance are explored, including predictive algorithms, robotics, drones, and automation techniques to address these issues. The study also examines assessment and performance monitoring, emphasizing the importance of continuous evaluation and introducing AI-driven tools for real-time tracking. Additionally, it discusses challenges in AI applications for maintenance, emerging trends, and future research opportunities. The concluding section synthesizes critical findings, lessons from case studies, and the transformative potential of AI in overcoming maintenance challenges. This study contributes valuable insights for professionals, researchers, and policymakers involved in advancing AI-driven solutions for PV system maintenance and evaluation, aiming for sustainable and efficient renewable energy solutions.