“The research team proposed a photovoltaic power prediction model based on sample entropy clustering decomposition inverted Transformer, which effectively solves the problem of weak representation ability of traditional models for high fluctuation and intermittent photovoltaic power data, as well as low prediction accuracy caused by insufficient long-term modeling ability of multiple variables, significantly improving the prediction accuracy.”