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A Comparative Study on RNN-LSTM-GRU Ensemble Model for Short-Term Wind Speed Prediction

Precise forecasting of wind speed is essential for the efficient operation of wind power systems and the optimal planning of power grid generation. This study seeks to simplify the process of predicting short-term wind speeds, a crucial step for planning and conducting feasibility assessments of win...

Ausführliche Beschreibung

Gespeichert in:
Hauptverfasser: Sathyaraj J, Sankardoss V
Format: Artigo
Sprache:Inglês
Veröffentlicht: IEEE 2026-01-01
Schriftenreihe:IEEE Open Journal of the Industrial Electronics Society
Schlagworte:
Activation functions
ensemble learning
gated recurrent units
long short-term memory
recurrent neural networks
wind speed forecasting
Online-Zugang:https://ieeexplore.ieee.org/document/11399856/
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