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Experiment strategy for evaluating advanced building energy management system
Cai, H., Khayatian, F., & Heer, P. (2021). Experiment strategy for evaluating advanced building energy management system. In J. L. Scartezzini & B. Smith (Eds.), Journal of physics: conference series: Vol. 2042. CISBAT 2021 carbon neutral cities - energy efficiency & renewables in the digital era (p. 012030 (6 pp.). https://doi.org/10.1088/1742-6596/2042/1/012030
A data-driven approach for window opening predictions in non-air-conditioned buildings
Fu, Y., Zhou, T., Lun, I., Khayatian, F., Deng, W., & Su, W. (2021). A data-driven approach for window opening predictions in non-air-conditioned buildings. Intelligent Buildings International. https://doi.org/10.1080/17508975.2021.1963651
Using generative adversarial networks to evaluate robustness of reinforcement learning agents against uncertainties
Khayatian, F., Nagy, Z., & Bollinger, A. (2021). Using generative adversarial networks to evaluate robustness of reinforcement learning agents against uncertainties. Energy and Buildings, 251, 111334 (13 pp.). https://doi.org/10.1016/j.enbuild.2021.111334
Unsupervised learning for feature projection: extracting patterns from multidimensional building measurements
Xiao, C., Khayatian, F., & Dall'O', G. (2020). Unsupervised learning for feature projection: extracting patterns from multidimensional building measurements. Energy and Buildings, 224, 110228 (18 pp.). https://doi.org/10.1016/j.enbuild.2020.110228