Anthony Umunnakwe Obiwulu

ORCID, self-asserted

ORCID 0000-0003-2147-8524

Publications

Citations

506

h-index

Computed over the works the graph holds, so it is a floor rather than a career figure.

i10-index

Publications

9 works in the graph, newest first.

Machine learning and physics-based model hybridization to assess the impact of climate change on single- and dual-axis tracking solar-concentrated photovoltaic systems
2025Physics and Chemistry of the Earth Parts A/B/CJournal34 citations10.1016/j.pce.2025.103881
A multi-model approach based on CARIMA-SARIMA-GPM for assessing the impacts of climate change on concentrated photovoltaic (CPV) potential
2024Physics and Chemistry of the Earth Parts A/B/CJournal34 citations10.1016/j.pce.2024.103560
Solar PV systems under weather extremes: Case studies, classification, vulnerability assessment, and adaptation pathways
2024Energy ReportsJournalOpen access74 citations10.1016/j.egyr.2024.12.067
Africa’s Propensity for a Net Zero Energy Transition
2024Book12 citations10.1201/9781003483175
Machine learning and analytical model hybridization to assess the impact of climate change on solar PV energy production
2023Physics and Chemistry of the Earth Parts A/B/CJournal88 citations10.1016/j.pce.2023.103389
Modeling and estimation of the optimal tilt angle, maximum incident solar radiation, and global radiation index of the photovoltaic system
2022HeliyonJournalOpen accessFirst authorCorresponding94 citations10.1016/j.heliyon.2022.e09598
Prediction of global solar radiation potential for sustainable and cleaner energy generation using improved Angstrom-Prescott and Gumbel probabilistic models
2022Cleaner Engineering and TechnologyJournalOpen access62 citations10.1016/j.clet.2022.100416
Hybridization of statistical machine learning and numerical models for improving beam, diffuse and global solar radiation prediction
2022Cleaner Engineering and TechnologyJournalOpen access55 citations10.1016/j.clet.2022.100529
Impacts of climate change and meteo-solar parameters on photosynthetically active radiation prediction using hybrid machine learning with Physics-based models
2022Advances in Space ResearchJournalSenior author53 citations10.1016/j.asr.2022.08.010