The increasing prevalence of artificial intelligence (AI) is being observed across several sectors of photovoltaic (PV) systems, mostly due to advancements in processing capacity, tools, and data generation. This study presents a proposed photovoltaic (PV) model. Fuzzy rule-based algorithms and artificial intelligence (AI) have the potential to provide automated monitoring and diagnosis of factors that impact the efficiency of solar panels. The application of artificial intelligence (AI) in performing these tasks has resulted in increased levels of accuracy and precision, making it a topic of signify- cant academic interest. The objective of this study is to investigate the impact of artificial intelligence (AI) methodologies and fuzzy rule-based approach on the photovoltaic (PV) value encompasses a collection of investigative rules that illuminate the interrelation- ships among efficiency, light intensity, output electrical power, temperature, and humidity. This study encompasses the examination of the current landscape of AI technologies, the identification of potential future applications of AI, and the evaluation of their individual advantages and disadvantages in relation to traditional procedures.