APA (7th ed.) Citation

Ping, X., Yang, F., Zhang, H., Xing, C., Zhang, W., & Wang, Y. (2022). Evaluation of hybrid forecasting methods for organic Rankine cycle: Unsupervised learning-based outlier removal and partial mutual information-based feature selection. Applied energy, 311, 118682. https://doi.org/10.1016/j.apenergy.2022.118682

Chicago Style (17th ed.) Citation

Ping, Xu, Fubin Yang, Hongguang Zhang, Chengda Xing, Wujie Zhang, and Yan Wang. "Evaluation of Hybrid Forecasting Methods for Organic Rankine Cycle: Unsupervised Learning-based Outlier Removal and Partial Mutual Information-based Feature Selection." Applied Energy 311 (2022): 118682. https://doi.org/10.1016/j.apenergy.2022.118682.

MLA (9th ed.) Citation

Ping, Xu, et al. "Evaluation of Hybrid Forecasting Methods for Organic Rankine Cycle: Unsupervised Learning-based Outlier Removal and Partial Mutual Information-based Feature Selection." Applied Energy, vol. 311, 2022, p. 118682, https://doi.org/10.1016/j.apenergy.2022.118682.