Investigation on Photovoltaic Power Forecasting Model Using Sensitivity Analysis
Photovoltaic (PV) power forecasting is challenged by high-dimensional input features that cause redundancy and overfitting. To address this, we propose a short-term PV forecasting model integrating a CNN-LSTM architecture with active subspace-based global sensitivity analysis, which quantitatively evaluates feature inf...