A Review on Neural Network Based Models for Short Term Solar Irradiance Forecasting

A Review on Neural Network Based Models for Short Term Solar Irradiance Forecasting

The accuracy of solar energy forecasting is critical for power system planning, management, and operation in the global electric energy grid. Therefore, it is crucial to ensure a constant and sustainable power supply to consumers. However, existing statistical and machine learning algorithms are not...

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Bibliographic Details
Main Authors: Abbas Mohammed Assaf, Habibollah Haron, Haza Nuzly Abdull Hamed, Fuad A. Ghaleb, Sultan Noman Qasem, Abdullah M. Albarrak
Format: Article
Language:English
Published: MDPI AG 2023-07-01
Series:Applied Sciences
Subjects:
Attention Mechanism
Convolutional Neural Network
deep learning
Generative Adversarial Network
hybrid model
solar irradiance forecasting
Online Access:https://www.mdpi.com/2076-3417/13/14/8332

Internet

https://www.mdpi.com/2076-3417/13/14/8332

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