A novel hybrid photovoltaic current prediction model utilizing singular spectrum analysis, adaptive beluga whale optimization, and improved extreme learning machine

Key Points

• The prediction model utilizes singular spectrum analysis and extreme learning machine techniques to enhance accuracy.
• Key performance metrics show significant improvements in current prediction compared to traditional models.
• This analysis incorporates hybrid methods, leveraging both adaptive optimization and machine learning principles.
• Results highlight a practical approach for improving energy forecasting, which can optimize photovoltaic system management.