A new hybrid model for wind speed forecasting combining long short-term memory neural network, decomposition methods and grey wolf optimizer

• Published in: Applied soft computing Vol. 100; p. 106996
• Main Authors: Altan, Aytaç, Karasu, Seçkin, Zio, Enrico
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 01.03.2021; Elsevier
• Subjects: Decomposition; domain_shs.gest-risq; Grey wolf optimizer (GWO); Humanities and Social Sciences; Hybrid model; Long short-term memory (LSTM); Wind speed; Hybrid model; Decomposition; Wind speed; Long short-term memory (LSTM); Grey wolf optimizer (GWO); LSTM; Long short-term memory LSTM; Grey wolf optimizer

Reliable and accurate wind speed forecasting (WSF) is fundamental for efficient exploitation of wind power. In particular, high accuracy short-term WSF (ST-WSF) has a significant impact on the efficiency of wind power generation systems. Due to the non-stationarity and stochasticity of the wind spee...