Enhancing 5G Enabled Solar Power Plant Performance through Reinforcement Learning

The utilization of fifth-generation wireless technology (5G) and artificial intelligence (AI) has opened many paths toward making solar power utility systems run more efficiently. 5G and AI have emerged within the last couple of years as competent technologies that can be used in various settings, including within the field of utility delivery. The main concern about this is how these technologies should be used in renewable energy systems and to what extent they improve operations. This research work is about 5G-enabled solar power systems. One of the models used AI-based implementation, while the other does not. Data for both models pertained to parameters such as power, state of charge, harmonic distortion, and voltage are collected. The results are then compared to determine the effectiveness of using AI with the system. Analysis has shown that implementing AI technology with 5G in a solar power system greatly improves power efficiency by stabilizing the voltage of the model. Furthermore, integrating AI with this model has proven to show unparalleled accuracy compared to a version of the model that does not use AI. It can therefore be inferred that usage of 5G with AI technologies will generally be an improvement over solar power implementations that do not use them.