AI-Based Forecasting in Renewable-Rich Microgrids: Challenges and Comparative Insights

Amid the accelerating global transition to renewable energy, accurate forecasting has become the cornerstone for unlocking the full potential of solar and wind power in modern power grids, especially in regions with high resource variability. This study begins with a review of forecasting challenges...

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Hlavní autoři:	Martins Osifeko, Josiah Lange Munda
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	IEEE 2025-01-01
Edice:	IEEE Access
Témata:	Renewable energy microgrid machine learning deep learning time-series prediction wind energy
On-line přístup:	https://ieeexplore.ieee.org/document/11087494/
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