Aldrin D Calderon

You are already at the latest version Artificial Intelligence (AI) has emerged as a transformative paradigm for enhancing the modeling, optimization, and operational control of renewable energy systems characterized by intermittency, nonlinearity, and stochastic behavior. Despite significant advances, existing modeling approaches remain fragmented across individual technologies and algorithmic domains, limiting cross-sector applicability and system-level insight.

Submitted: 24 February 2026 You are already at the latest version Phase change material (PCM)-based latent heat storage (LHS) systems help address the mismatch between renewable energy supply and thermal demand. However, their prac-tical implementation is constrained by the strongly nonlinear and multiphysics nature of phase change, which makes high-fidelity simulations and real-time applications computationally expensive.