A Novel Hybrid CNN-XGBoost Model for Photovoltaic System Power Forecasting

• Published in: 2024 6th International Youth Conference on Radio Electronics, Electrical and Power Engineering (REEPE) pp. 1 - 6
• Main Authors: Bashir, Safia Babikir, Farag, Mena Maurice, Hamid, Abdul Kadir, Adam, Ali Ahmed, Abo-Khalil, Ahmed Galal, Bansal, Ramesh
• Format: Conference Proceeding
• Language: English
• Published: IEEE 29.02.2024
• Subjects: Convolution; Convolution Neural Network (CNN); Feature extraction; Forecasting models; Hybrid power systems; Neural networks; Photovoltaic systems; Predictive models; PV systems; Renewable energy sources; Solar Energy; XGBoost

Photovoltaic (PV) systems have been at the forefront of renewable energy resources, being a primary alternate source of energy within the electricity supply. However, PV systems are vulnerable to abrupt changes in weather conditions, which affects the stability of DC output generation. Therefore, fo...