Tang, X., Zhang, L., & Luo, Y. (2025). Optimization control method for dedicated outdoor air system in multi-zone office buildings based on deep reinforcement learning. Building Simulation: An International Journal, 18(4), 881-896. https://doi.org/10.1007/s12273-025-1231-0
ISO-690 (author-date, English)TANG, Xudong, ZHANG, Ling und LUO, Yongqiang, 2025. Optimization control method for dedicated outdoor air system in multi-zone office buildings based on deep reinforcement learning. Building Simulation: An International Journal. 1 April 2025. Vol. 18, no. 4, p. 881-896. DOI 10.1007/s12273-025-1231-0.
Modern Language Association 9th editionTang, X., L. Zhang, und Y. Luo. „Optimization Control Method for Dedicated Outdoor Air System in Multi-Zone Office Buildings Based on Deep Reinforcement Learning“. Building Simulation: An International Journal, Bd. 18, Nr. 4, April 2025, S. 881-96, https://doi.org/10.1007/s12273-025-1231-0.
Mohr Siebeck - Recht (Deutsch - Österreich)Tang, Xudong/Zhang, Ling/Luo, Yongqiang: Optimization control method for dedicated outdoor air system in multi-zone office buildings based on deep reinforcement learning, Building Simulation: An International Journal 2025, 881-896.
Emerald - HarvardTang, X., Zhang, L. und Luo, Y. (2025), „Optimization control method for dedicated outdoor air system in multi-zone office buildings based on deep reinforcement learning“, Building Simulation: An International Journal, Vol. 18 No. 4, S. 881-896.