Thermodynamic Liquid Manifold Networks: Physics-Bounded Deep Learning for Solar Forecasting in Autonomous Off-Grid Microgrids

This research introduces the Thermodynamic Liquid Manifold Network (TLMN), a physics-bounded deep learning model for solar forecasting in autonomous off-grid microgrids. It resolves critical anomalies in contemporary deep learning models by integrating atmospheric thermodynamics and celestial mechanics to prevent physically impossible predictions.