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A novel hybrid GRU-XGBoost model for day-ahead photovoltaic generation forecasting in microgrids

The global transition toward renewable energy has made photovoltaic (PV) technology a key component in sustainable microgrid operations. However, the inherent variability of PV generation (PVGen), influenced by changing weather conditions, presents significant challenges for efficient energy managem...

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Principais autores: Ahmed Khayat, Mohammed Kissaoui, Lhoussaine Bahatti, Abdelhadi Raihani, Youness Atifi, Khalid Errakkas
Format: Artigo
Sprog:Inglês
Udgivet: Elsevier 2025-09-01
Serier:Scientific African
Fag:
PV forecasting
Microgrid
GRU
XGBoost
PSO optimization
Day-ahead prediction
Online adgang:http://www.sciencedirect.com/science/article/pii/S2468227625003540
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