APA (7th ed.) Citation

Li, Z., Wang, Q., Xiong, J., Cen, J., Dai, Q., Liang, Q., & Lu, T. (2024). A building electrical system fault diagnosis method based on random forest optimized by improved sparrow search algorithm. Measurement science & technology, 35(5), 55110. https://doi.org/10.1088/1361-6501/ad2255

Chicago Style (17th ed.) Citation

Li, Zhangling, Qi Wang, Jianbin Xiong, Jian Cen, Qingyun Dai, Qiong Liang, and Tiantian Lu. "A Building Electrical System Fault Diagnosis Method Based on Random Forest Optimized by Improved Sparrow Search Algorithm." Measurement Science & Technology 35, no. 5 (2024): 55110. https://doi.org/10.1088/1361-6501/ad2255.

MLA (9th ed.) Citation

Li, Zhangling, et al. "A Building Electrical System Fault Diagnosis Method Based on Random Forest Optimized by Improved Sparrow Search Algorithm." Measurement Science & Technology, vol. 35, no. 5, 2024, p. 55110, https://doi.org/10.1088/1361-6501/ad2255.