APA (7th ed.) Citation

Li, W., Gong, G., Fan, H., Peng, P., & Chun, L. (2020). Meta-learning strategy based on user preferences and a machine recommendation system for real-time cooling load and COP forecasting. Applied energy, 270, 115144. https://doi.org/10.1016/j.apenergy.2020.115144

Chicago Style (17th ed.) Citation

Li, Wenqiang, Guangcai Gong, Houhua Fan, Pei Peng, and Liang Chun. "Meta-learning Strategy Based on User Preferences and a Machine Recommendation System for Real-time Cooling Load and COP Forecasting." Applied Energy 270 (2020): 115144. https://doi.org/10.1016/j.apenergy.2020.115144.

MLA (9th ed.) Citation

Li, Wenqiang, et al. "Meta-learning Strategy Based on User Preferences and a Machine Recommendation System for Real-time Cooling Load and COP Forecasting." Applied Energy, vol. 270, 2020, p. 115144, https://doi.org/10.1016/j.apenergy.2020.115144.