Performance of Deep Learning Techniques for Forecasting PV Power Generation: A Case Study on a 1.5 MWp Floating PV Power Plant

Performance of Deep Learning Techniques for Forecasting PV Power Generation: A Case Study on a 1.5 MWp Floating PV Power Plant

Recently, deep learning techniques have become popular and are widely employed in several research areas, such as optimization, pattern recognition, object identification, and forecasting, due to the advanced development of computer programming technologies. A significant number of renewable energy...

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Bibliographic Details
Main Authors: Nonthawat Khortsriwong, Promphak Boonraksa, Terapong Boonraksa, Thipwan Fangsuwannarak, Asada Boonsrirat, Watcharakorn Pinthurat, Boonruang Marungsri
Format: Article
Language:English
Published: MDPI AG 2023-02-01
Series:Energies
Subjects:
floating PV power plant
deep learning techniques
short-term PV power forecasting
PV generation
neural networks
Online Access:https://www.mdpi.com/1996-1073/16/5/2119

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