Novel Hybrid Deep Learning Model for Forecasting FOWT Power Output

Novel Hybrid Deep Learning Model for Forecasting FOWT Power Output

This study presents a novel approach in the field of renewable energy, focusing on the power generation capabilities of floating offshore wind turbines (FOWTs). The study addresses the challenges of designing and assessing the power generation of FOWTs due to their multidisciplinary nature involving...

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Bibliographic Details
Main Authors: Mohammad Barooni, Deniz Velioglu Sogut, Parviz Sedigh, Masoumeh Bahrami
Format: Article
Language:English
Published: MDPI AG 2025-07-01
Series:Energies
Subjects:
deep learning
offshore wind turbine
neural networks
CNN-LSTM
Online Access:https://www.mdpi.com/1996-1073/18/13/3532
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