AI-Enhanced Photovoltaic Power Prediction Under Cross-Continental Dust Events and Air Composition Variability in the Mediterranean Region

AI-Enhanced Photovoltaic Power Prediction Under Cross-Continental Dust Events and Air Composition Variability in the Mediterranean Region

Accurate short-term forecasting of photovoltaic power generation is vital for the operational stability of isolated energy systems, especially in regions with increasing renewable energy penetration. This study presents a novel AI-based forecasting framework applied to the island of Cyprus. Using ma...

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Bibliographic Details
Main Author: Pavlos Nikolaidis
Format: Article
Language:English
Published: MDPI AG 2025-07-01
Series:Energies
Subjects:
renewable energy integration
PV power forecasting
AI-based solar prediction models
regression trees
clustering techniques for feature selection
air composition influence
Online Access:https://www.mdpi.com/1996-1073/18/14/3731
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