Intelligent Design of Microgrids for Rural Areas Using cGANs and Reinforcement Learning applied in the village of La Marina, Valle del Cauca - Colombia
The lack of reliable access to electricity in remote rural areas remains one of the main barriers to social, economic, and productive development in Latin America. This paper presents an innovative artificial intelligence-based approach for designing optimal energy microgrids capable of adapting to variable climatic conditions. Using Conditional Generative Adversarial