Hybrid LSTM-Based Fractional-Order Neural Network for Jeju Island’s Wind Farm Power Forecasting

Hybrid LSTM-Based Fractional-Order Neural Network for Jeju Island’s Wind Farm Power Forecasting

Efficient integration of wind energy requires accurate wind power forecasting. This prediction is critical in optimising grid operation, energy trading, and effectively harnessing renewable resources. However, the wind’s complex and variable nature poses considerable challenges to achieving accurate...

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Bibliographic Details
Main Authors: Bhukya Ramadevi, Venkata Ramana Kasi, Kishore Bingi
Format: Article
Language:English
Published: MDPI AG 2024-03-01
Series:Fractal and Fractional
Subjects:
wind power
speed
direction
fractional arctan function
LSTM
fractional-order neural network
Online Access:https://www.mdpi.com/2504-3110/8/3/149

Internet

https://www.mdpi.com/2504-3110/8/3/149

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