Improving photovoltaic power forecasting accuracy: a comparative study of hybrid models and PVGIS

Key Points

• Forecasting accuracy improved significantly in hybrid models compared to traditional methods, showing promise for better solar energy utilization.
• The study achieved a precise forecasting accuracy of 92% using the hybrid model, leveraging data from PVGIS and machine learning.
• Assessment across various models highlighted the strengths of hybrid approaches in capturing complex solar patterns effectively.
• Such advancements may enhance solar energy integration and reliability, benefiting energy management systems in diverse environments.