Citations refer to the original publication, not to a Scieee localized version.
Riquelme Domínguez, J. M., Carranza García, M., Lara Benítez, P., & González Longatt, F. (2023). A machine learning-based methodology for short-term kinetic energy forecasting with real-time application: Nordic Power System case. Elsevier. https://doi.org/10.1016/j.ijepes.2023.109730
Riquelme Domínguez, José Miguel, et al. A machine learning-based methodology for short-term kinetic energy forecasting with real-time application: Nordic Power System case. Elsevier, 2023. https://doi.org/10.1016/j.ijepes.2023.109730.
Riquelme Domínguez, José Miguel, Manuel Carranza García, Pedro Lara Benítez, and Francisco González Longatt. A machine learning-based methodology for short-term kinetic energy forecasting with real-time application: Nordic Power System case. Elsevier, 2023. https://doi.org/10.1016/j.ijepes.2023.109730.
Riquelme Domínguez, J. M. et al. (2023) A machine learning-based methodology for short-term kinetic energy forecasting with real-time application: Nordic Power System case. Elsevier. Available at: https://doi.org/10.1016/j.ijepes.2023.109730.
J. M. Riquelme Domínguez, M. Carranza García, P. Lara Benítez, and F. González Longatt, “A machine learning-based methodology for short-term kinetic energy forecasting with real-time application: Nordic Power System case,” Elsevier, 2023, doi: 10.1016/j.ijepes.2023.109730.
@misc{riquelmedominguez2023machine,
author = {Riquelme Domínguez, José Miguel and Carranza García, Manuel and Lara Benítez, Pedro and González Longatt, Francisco},
title = {A machine learning-based methodology for short-term kinetic energy forecasting with real-time application: Nordic Power System case},
year = {2023},
publisher = {Elsevier},
doi = {10.1016/j.ijepes.2023.109730},
url = {https://doi.org/10.1016/j.ijepes.2023.109730}
}
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