Challenges and Resolutions for Integrating PV Solar Plants into the Grid using AI Techniques in a Uniform Environment

Advancements in processing power, tools, and data generation have enabled the integration of artificial intelligence (AI) into photovoltaic (PV) systems. This study proposes a novel PV paradigm utilizing fuzzy rule-based algorithms to automate monitoring and diagnosis of solar panel efficiency issues. By integrating AI, this approach offers improved accuracy and precision in evaluating PV system performance. The study investigates the impact of AI and fuzzy rule-based algorithms on PV system value by analyzing factors such as efficiency, light intensity, output electrical power, temperature, and humidity. This research compares the benefits and drawbacks of AI-based methods with conventional approaches, identifying potential applications and future directions. By exploring the integration of AI and fuzzy rule-based algorithms, this study contributes to the optimization and enhancement of photovoltaic systems.