The Sunny Intelligence: A Novel Proposal for Combining the AI with Solar Power for Excellent Output Power Forcasting

This research will take a look at how AI and PV systems are connected. Business and government investments in solar energy continue to rise every year since it is one of the most promising renewable technologies. Many of the most pressing issues with PV systems can be addressed with the help of artificial intelligence, including the determination of the PV modules' Max Power Point, the prediction of the energy generated by the system, the estimation of the parameters of the equivalent model of PV modules, and the detection of faults in the modules or cells. Despite having drawbacks like the large data requirements and lengthy calculation times associated with the training process, AI techniques outperform traditional methods. Efforts to investigate these issues and develop more effective solutions and methods continue today. By searching for topics linked to AI and PV systems in the most influential academic research databases, this article evaluates the most significant scientific works that use AI to solve the most pressing issues facing the PV industry. The significant of this research that it involves many verification methods starts from theoretical analysis through mathematical approaches and ends with simulation and emulation of the proposed method. The results also demonstrate the efficacy of such algorithms in resolving these challenges and improving upon the efficacy of earlier methods.