Stochastic Investigation of Solar and Wind Processes for Renewable Energy Storage in Greece

Periods of low Renewable Energy Sources (RES) production are critical for power system reliability. This study investigates the stochastic dynamics linking solar radiation, wind conditions, and renewable energy production in Greece. Emphasis is placed on characterizing energy droughts by analyzing temporal variability and persistence features of the relevant climatic variables using the Hurst–Kolmogorov framework. Based on historical datasets, we identify prolonged deficit periods and quantify the probability of critical concurrent low-wind and low-solar events. Finally, synthetic future scenarios are generated to estimate energy storage requirements, in order to support resilient infrastructure design under the inherent stochastic variability of climatic processes.