Cite
A probabilistic approach to potential estimation of renewable energy resources based on augmented spatial interpolation.
MLA
Kim, Gyeongmin, and Jin Hur. “A Probabilistic Approach to Potential Estimation of Renewable Energy Resources Based on Augmented Spatial Interpolation.” Energy, vol. 263, Jan. 2023, p. N.PAG. EBSCOhost, https://doi.org/10.1016/j.energy.2022.125582.
APA
Kim, G., & Hur, J. (2023). A probabilistic approach to potential estimation of renewable energy resources based on augmented spatial interpolation. Energy, 263, N.PAG. https://doi.org/10.1016/j.energy.2022.125582
Chicago
Kim, Gyeongmin, and Jin Hur. 2023. “A Probabilistic Approach to Potential Estimation of Renewable Energy Resources Based on Augmented Spatial Interpolation.” Energy 263 (January): N.PAG. doi:10.1016/j.energy.2022.125582.