Parallel-friendly Spatio-Temporal Graph Learning for Photovoltaic Degradation Analysis at Scale

We propose a novel Spatio-Temporal Graph Neural Network empowered trend analysis approach (ST-GTrend) to perform fleet-level performance degradation analysis for Photovoltaic (PV) power networks. PV power stations have become an integral component to the global sustainable energy production landscape. Accurately estimating the performance of PV systems is critical to their feasibility as a power generation technology and as a financial asset. One of the most challenging problems in assessing the Levelized Cost of Energy (LCOE) of a PV system is …

analysis become cs.ai cs.dc cs.lg energy global graph graph learning graph neural network integral landscape network networks neural network novel performance power production scale sustainable sustainable energy systems temporal trend