APA (7th ed.) Citation

Das, R., Kandil, T., Harris, A., Herron, B., & Magnante, E. J. (2026). A Hybrid Deep Learning Framework for National Level Power Generation Forecasting of Different Energy Sources Including Renewable Energy and Fossil Fuel. Energies (19961073), 19(6), 1564. https://doi.org/10.3390/en19061564

Chicago Style (17th ed.) Citation

Das, Remon, Tarek Kandil, Adam Harris, Bryson Herron, and Ethan J. Magnante. "A Hybrid Deep Learning Framework for National Level Power Generation Forecasting of Different Energy Sources Including Renewable Energy and Fossil Fuel." Energies (19961073) 19, no. 6 (2026): 1564. https://doi.org/10.3390/en19061564.

MLA (9th ed.) Citation

Das, Remon, et al. "A Hybrid Deep Learning Framework for National Level Power Generation Forecasting of Different Energy Sources Including Renewable Energy and Fossil Fuel." Energies (19961073), vol. 19, no. 6, 2026, p. 1564, https://doi.org/10.3390/en19061564.