Cite
Rigdelet Neural Networks-based Maximum Power Point Tracking for a PEMFC connected to the network with Interleaved Boost Converter optimized by Improved Satin Bowerbird Optimization
MLA
Yulong Su, et al. “Rigdelet Neural Networks-Based Maximum Power Point Tracking for a PEMFC Connected to the Network with Interleaved Boost Converter Optimized by Improved Satin Bowerbird Optimization.” Energy Reports, vol. 9, no. 4960–4970, Dec. 2023, pp. 4960–70. EBSCOhost, https://doi.org/10.1016/j.egyr.2023.04.015.
APA
Yulong Su, Kai Ma, Shichuang Zheng, Donglin Xue, & Xinyao Li. (2023). Rigdelet Neural Networks-based Maximum Power Point Tracking for a PEMFC connected to the network with Interleaved Boost Converter optimized by Improved Satin Bowerbird Optimization. Energy Reports, 9(4960–4970), 4960–4970. https://doi.org/10.1016/j.egyr.2023.04.015
Chicago
Yulong Su, Kai Ma, Shichuang Zheng, Donglin Xue, and Xinyao Li. 2023. “Rigdelet Neural Networks-Based Maximum Power Point Tracking for a PEMFC Connected to the Network with Interleaved Boost Converter Optimized by Improved Satin Bowerbird Optimization.” Energy Reports 9 (4960–4970): 4960–70. doi:10.1016/j.egyr.2023.04.015.