Cite
Development of a genetic algorithm for maximizing wind power integration rate into the electric grid.
MLA
Ammous, Sahar, et al. “Development of a Genetic Algorithm for Maximizing Wind Power Integration Rate into the Electric Grid.” Journal of Renewable & Sustainable Energy, vol. 11, no. 2, Mar. 2019, p. N.PAG. EBSCOhost, https://doi.org/10.1063/1.5068736.
APA
Ammous, S., Halima, N. B., Oualha, A., Jebali, M., & Abdallah, H. H. (2019). Development of a genetic algorithm for maximizing wind power integration rate into the electric grid. Journal of Renewable & Sustainable Energy, 11(2), N.PAG. https://doi.org/10.1063/1.5068736
Chicago
Ammous, Sahar, Nahla Ben Halima, Abdelmajid Oualha, Mariam Jebali, and Hsan Hadj Abdallah. 2019. “Development of a Genetic Algorithm for Maximizing Wind Power Integration Rate into the Electric Grid.” Journal of Renewable & Sustainable Energy 11 (2): N.PAG. doi:10.1063/1.5068736.