Karimi-Arpanahi, S., Pourmousavi, S. A., & Mahdavi, N. (2023). Quantifying the predictability of renewable energy data for improving power systems decision-making. Patterns (New York, N.Y.), 4(4), 100708. https://doi.org/10.1016/j.patter.2023.100708
Chicago Style (17th ed.) CitationKarimi-Arpanahi, Sahand, S. Ali Pourmousavi, and Nariman Mahdavi. "Quantifying the Predictability of Renewable Energy Data for Improving Power Systems Decision-making." Patterns (New York, N.Y.) 4, no. 4 (2023): 100708. https://doi.org/10.1016/j.patter.2023.100708.
MLA (9th ed.) CitationKarimi-Arpanahi, Sahand, et al. "Quantifying the Predictability of Renewable Energy Data for Improving Power Systems Decision-making." Patterns (New York, N.Y.), vol. 4, no. 4, 2023, p. 100708, https://doi.org/10.1016/j.patter.2023.100708.