[HTML][HTML] A critical overview of the (Im) practicability of solar radiation forecasting models

OM Babatunde, JL Munda, Y Hamam… - e-Prime-Advances in …, 2023 - Elsevier
To size solar energy facilities, the availability of solar radiation data on a horizontal surface
is inevitable. Based on the vast applications of energy from the sun in electricity generation …

Machine learning and analytical model hybridization to assess the impact of climate change on solar PV energy production

SC Nwokolo, AU Obiwulu, JC Ogbulezie - … and Chemistry of the Earth, Parts …, 2023 - Elsevier
Abstract The United Nations'(UN) Sustainable Development Goals (SDGs) agenda has
triggered numerous countries to harness solar energy from solar photovoltaic (PV) modules …

[HTML][HTML] A novel approach based on integration of convolutional neural networks and echo state network for daily electricity demand prediction

S Ghimire, T Nguyen-Huy, MS AL-Musaylh, RC Deo… - Energy, 2023 - Elsevier
Predicting electricity demand data is considered an essential task in decisions taking, and
establishing new infrastructure in the power generation network. To deliver a high-quality …

[HTML][HTML] Potential impacts of climate change on global solar radiation and PV output using the CMIP6 model in West Africa

ME Agbor, SO Udo, IO Ewona, SC Nwokolo… - Cleaner Engineering …, 2023 - Elsevier
In this study, six different PV power technology models from similar climatic environments in
West Africa were used to estimate the potential of PV generation and apply the model to …

Machine learning and physics-based hybridization models for evaluation of the effects of climate change and urban expansion on photosynthetically active radiation

SC Nwokolo, N Proutsos, EL Meyer, CC Ahia - Atmosphere, 2023 - mdpi.com
Given the interdependence of climate change (CLC) and urban expansion (URE) on
ecosystem productivity in China and India, hybrid physics-based models were fitted in this …

Impacts of climate change and meteo-solar parameters on photosynthetically active radiation prediction using hybrid machine learning with Physics-based models

SC Nwokolo, JC Ogbulezie, AU Obiwulu - Advances in Space Research, 2022 - Elsevier
The photosynthetically active radiation (PAR) ratio of 0.45 has been applied in numerous
ecological studies to convert global solar radiation (H) to PAR by ordinary multiplication. The …

[PDF][PDF] Africa's path to sustainability: harnessing technology, policy, and collaboration

SC Nwokolo, EE Eyime, AU Obiwulu… - Trends in Renewable …, 2023 - researchgate.net
This paper explores the significant role of technological advancements, strategic policies,
and collaborations in driving Africa towards a more sustainable future. It highlights how the …

Credible pathways to catching up with climate goals in Nigeria

SC Nwokolo, EL Meyer, CC Ahia - Climate, 2023 - mdpi.com
This paper seeks to address Nigeria's challenges in meeting its climate objectives by
investigating feasible pathways that can be implemented to accelerate progress and ensure …

Prediction of diffuse solar radiation by integrating radiative transfer model and machine-learning techniques

Y Lu, R Zhang, L Wang, X Su, M Zhang, H Li… - Science of The Total …, 2023 - Elsevier
Diffuse radiation is a major component of solar radiation that is important in carbon
exchanges and material, energy, and information flows in agricultural ecosystems; however …

[PDF][PDF] Assessing the impact of soiling, tilt angle, and solar radiation on the performance of solar PV systems

SC Nwokolo, AU Obiwulu, O Amadi… - Trends in Renewable …, 2023 - researchgate.net
This research examined the observed datasets and a theoretically derived model for
estimating yearly optimum tilt angle (β), maximum incident solar radiation (Hmax), clean …