Machine learning-based solar radiation prediction across heterogeneous climatic zones using NASA POWER data: a case study in Nigeria.

Faloye OT, Awotoye GT, Akinremi J, Olaleye OS, Oluwadare AO, Adeyeri OE, Laokhongthavorn L, Kamchoom V

DOI: 10.3389/frai.2026.1846084
Published: 2026
Container: Frontiers in artificial intelligence
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.3389/frai.2026.1846084,
  title = {Machine learning-based solar radiation prediction across heterogeneous climatic zones using NASA POWER data: a case study in Nigeria.},
  author = {Faloye OT and Awotoye GT and Akinremi J and Olaleye OS and Oluwadare AO and Adeyeri OE and Laokhongthavorn L and Kamchoom V},
  year = {2026},
  journal = {Frontiers in artificial intelligence},
  doi = {10.3389/frai.2026.1846084},
  url = {https://doi.org/10.3389/frai.2026.1846084}
}

RIS

TY  - JOUR
TI  - Machine learning-based solar radiation prediction across heterogeneous climatic zones using NASA POWER data: a case study in Nigeria.
AU  - Faloye OT
AU  - Awotoye GT
AU  - Akinremi J
AU  - Olaleye OS
AU  - Oluwadare AO
AU  - Adeyeri OE
AU  - Laokhongthavorn L
AU  - Kamchoom V
PY  - 2026
JO  - Frontiers in artificial intelligence
DO  - 10.3389/frai.2026.1846084
UR  - https://doi.org/10.3389/frai.2026.1846084
ER  -

APA

OT, F., GT, A., J, A., OS, O., AO, O., OE, A., L, L., & V, K. (2026). Machine learning-based solar radiation prediction across heterogeneous climatic zones using NASA POWER data: a case study in Nigeria.. Frontiers in artificial intelligence. https://doi.org/10.3389/frai.2026.1846084

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pubmed · retrieved 2026-09-25T19:27:27.768Z