American Psychological Association 6th edition

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

ISO-690 (author-date, English)

DINH, Ngoc Sang, DINH, Le Song Binh and 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.

Modern Language Association 9th edition

Dinh, N. S., L. S. B. Dinh, and 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, Aug. 2025, pp. 1-20, https://doi.org/10.1007/s00521-025-11582-y.

Mohr Siebeck - Recht (Deutsch - Österreich)

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.

Emerald - Harvard

Dinh, N.S., Dinh, L.S.B. and 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, pp. 1-20.

Warning: These citations may not always be 100% accurate.