Cite
A novel prediction intervals method integrating an error & self-feedback extreme learning machine with particle swarm optimization for energy consumption robust prediction.
MLA
Xu, Yuan, et al. “A Novel Prediction Intervals Method Integrating an Error & Self-Feedback Extreme Learning Machine with Particle Swarm Optimization for Energy Consumption Robust Prediction.” Energy, vol. 164, Dec. 2018, pp. 137–46. EBSCOhost, https://doi.org/10.1016/j.energy.2018.08.180.
APA
Xu, Y., Zhang, M., Ye, L., Zhu, Q., Geng, Z., He, Y.-L., & Han, Y. (2018). A novel prediction intervals method integrating an error & self-feedback extreme learning machine with particle swarm optimization for energy consumption robust prediction. Energy, 164, 137–146. https://doi.org/10.1016/j.energy.2018.08.180
Chicago
Xu, Yuan, Mingqing Zhang, Liangliang Ye, Qunxiong Zhu, Zhiqiang Geng, Yan-Lin He, and Yongming Han. 2018. “A Novel Prediction Intervals Method Integrating an Error & Self-Feedback Extreme Learning Machine with Particle Swarm Optimization for Energy Consumption Robust Prediction.” Energy 164 (December): 137–46. doi:10.1016/j.energy.2018.08.180.