AI-Driven Microgrids: Conquering Data Sparsity with Probabilistic Graphs

This research addresses the critical challenge of intermittent sensor data in remote agriculture by modeling network topology as a dynamic random variable. It offers a resilient solution for energy management where traditional AI fails due to extreme data gaps and infrastructure instability.