Maduabuchi, C.; Nsude, C.; Eneh, C.; Eke, E.; Okoli, K.; Okpara, E.; Idogho, C.; Waya, B.; Harsito, C.
Renewable Energy Potential Estimation Using Climatic-Weather-Forecasting Machine Learning Algorithms. Energies 2023, 16, 1603.
https://doi.org/10.3390/en16041603
AMA Style
Maduabuchi C, Nsude C, Eneh C, Eke E, Okoli K, Okpara E, Idogho C, Waya B, Harsito C.
Renewable Energy Potential Estimation Using Climatic-Weather-Forecasting Machine Learning Algorithms. Energies. 2023; 16(4):1603.
https://doi.org/10.3390/en16041603
Chicago/Turabian Style
Maduabuchi, Chika, Chinedu Nsude, Chibuoke Eneh, Emmanuel Eke, Kingsley Okoli, Emmanuel Okpara, Christian Idogho, Bryan Waya, and Catur Harsito.
2023. "Renewable Energy Potential Estimation Using Climatic-Weather-Forecasting Machine Learning Algorithms" Energies 16, no. 4: 1603.
https://doi.org/10.3390/en16041603
APA Style
Maduabuchi, C., Nsude, C., Eneh, C., Eke, E., Okoli, K., Okpara, E., Idogho, C., Waya, B., & Harsito, C.
(2023). Renewable Energy Potential Estimation Using Climatic-Weather-Forecasting Machine Learning Algorithms. Energies, 16(4), 1603.
https://doi.org/10.3390/en16041603