Mawloud Guermoui, Amor Fezzani, Zaiani Mohamed, Abdelaziz Rabehi, Khaled Ferkous, Nadjem Bailek, Sabrina Bouallit, Abdelkader Riche, Mohit Bajaj, Shir Ahmad Dost Mohammadi, Enas Ali, Sherif S M Ghoneim
Integration renewable energy sources into current power generation systems necessitates accurate forecasting to optimize and preserve supply-demand restrictions in the electrical grids. Due to the highly random nature of environmental conditions, accurate prediction of PV power has limitations, particularly on long and short periods. Thus, this research provides a new hybrid model for forecasting short PV power based on the fusing of multi-frequency information of different decomposition techniques that will allow a forecaster to provide reliable forecasts...
March 20, 2024: Scientific Reports