Dinh, N. S., Dinh, L. S. B., & Truong, V. A. (2025). A novel hybrid algorithm: long short-term memory-genetic algorithm for optimizing uncertain revenue of wind farms in electricity markets. Neural Computing and Applications, 1-20. https://doi.org/10.1007/s00521-025-11582-y

DINH, Ngoc Sang, DINH, Le Song Binh und TRUONG, Viet Anh, 2025. A novel hybrid algorithm: long short-term memory-genetic algorithm for optimizing uncertain revenue of wind farms in electricity markets. Neural Computing and Applications. 28 August 2025. P. 1-20. DOI 10.1007/s00521-025-11582-y.

Dinh, N. S., L. S. B. Dinh, und V. A. Truong. „A Novel Hybrid Algorithm: Long Short-Term Memory-Genetic Algorithm for Optimizing Uncertain Revenue of Wind Farms in Electricity Markets“. Neural Computing and Applications, August 2025, S. 1-20, https://doi.org/10.1007/s00521-025-11582-y.

Dinh, Ngoc Sang/Dinh, Le Song Binh/Truong, Viet Anh: A novel hybrid algorithm: long short-term memory-genetic algorithm for optimizing uncertain revenue of wind farms in electricity markets, Neural Computing and Applications 2025, 1-20.

Dinh, N.S., Dinh, L.S.B. und Truong, V.A. (2025), „A novel hybrid algorithm: long short-term memory-genetic algorithm for optimizing uncertain revenue of wind farms in electricity markets“, Neural Computing and Applications, S. 1-20.