A Machine Learning Modelling Approach for Improved Solar Irradiance Prediction for Day-Ahead Photovoltaic Power Production Forecasting

Accurate day-ahead solar irradiance forecasting is essential for reliable photovoltaic (PV) power generation and power system operation. This study proposes a machine-learning-based approach for site-specific day-ahead forecasting of plane-of-array (POA) irradiance using satellite-derived global hor...

Ausführliche Beschreibung

Bibliografische Detailangaben

Hauptverfasser:	Tanyo Tanev, Rad Stanev
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	MDPI AG 2026-05-01
Schriftenreihe:	Energies
Schlagworte:	photovoltaic power plants plane-of-array irradiance forecasting site adaptation of satellite-derived irradiance machine learning deep learning hyperparameter optimization
Online-Zugang:	https://www.mdpi.com/1996-1073/19/11/2653
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