Decoding Climatic Drivers of Solar Photovoltaic Output in Arid Climates: Integrating Sensitivity, Lag Dynamics, and Principal Component Analysis for Forecasting Accuracy

Key Points

• Forecasting accuracy significantly improves with integrated climatic driver analysis, enhancing output predictions.
• Sensitivity analysis reveals key climatic variables that influence solar photovoltaic performance under arid conditions.
• This observational analysis employed principal component analysis to explore lag dynamics affecting solar output.
• Understanding these climatic drivers may enable better energy management strategies in arid regions.