Grid parity analysis of photovoltaic systems considering feed-in tariff and renewable energy certificate schemes in Hong Kong
Abstract The Hong Kong government has actively promoted the development of renewable
energy with two local utility companies to achieve its renewable energy target. Accordingly …
energy with two local utility companies to achieve its renewable energy target. Accordingly …
[HTML][HTML] A critical overview of the (Im) practicability of solar radiation forecasting models
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 …
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 …
triggered numerous countries to harness solar energy from solar photovoltaic (PV) modules …
[HTML][HTML] Potential impacts of climate change on global solar radiation and PV output using the CMIP6 model in West Africa
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 …
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
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 …
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 …
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 …
and collaborations in driving Africa towards a more sustainable future. It highlights how the …
[HTML][HTML] Hybridization of statistical machine learning and numerical models for improving beam, diffuse and global solar radiation prediction
SC Nwokolo, AU Obiwulu, JC Ogbulezie… - Cleaner Engineering and …, 2022 - Elsevier
Prediction, separation, and improvement of beam (Hb), diffuse (Hd), and global solar
radiation (H) using an efficient Gumbel probabilistic model (GP) and hybridization of GP with …
radiation (H) using an efficient Gumbel probabilistic model (GP) and hybridization of GP with …
A robust regressor model for estimating solar radiation using an ensemble stacking approach based on machine learning
Of late, with the rapid advancement in solar power generation, some difficulties have
cropped up due to solar intermittency, necessitating an accurate forecast of Global …
cropped up due to solar intermittency, necessitating an accurate forecast of Global …
A multi-model ensemble-based CMIP6 assessment of future solar radiation and PV potential under various climate warming scenarios
The ability of the hybrid evolutionary auto-regression integrated moving average (ARIMA)
with a transformed probabilistically optimized Gumbel (GP) model (ARIMA-GP) and …
with a transformed probabilistically optimized Gumbel (GP) model (ARIMA-GP) and …