Multi-scale solar radiation and photovoltaic power forecasting with machine learning algorithms in urban environment: A state-of-the-art review
J Tian, R Ooka, D Lee - Journal of Cleaner Production, 2023 - Elsevier
Solar energy has been rapidly utilized in urban environments owing to its significant
potential to fulfill the energy demand. The precise forecasting of solar energy, including solar …
potential to fulfill the energy demand. The precise forecasting of solar energy, including solar …
Predicting surface solar radiation using a hybrid radiative Transfer–Machine learning model
Solar radiation is one of the cleanest sources of renewable energy, and it affects the carbon
sink functions of terrestrial ecosystems. Although efforts have been made to establish solar …
sink functions of terrestrial ecosystems. Although efforts have been made to establish solar …
Improving the accuracy of daily solar radiation prediction by climatic data using an efficient hybrid deep learning model: Long short-term memory (LSTM) network …
Accurate daily solar radiation prediction is a crucial task for the management and generation
of solar energy as one of the alternatives to fossil fuels. In this study, the prediction accuracy …
of solar energy as one of the alternatives to fossil fuels. In this study, the prediction accuracy …
[PDF][PDF] Hybrid ensemble-learning approach for renewable energy resources evaluation in algeria
In order to achieve a highly accurate estimation of solar energy resource potential, a novel
hybrid ensemble-learning approach, hybridizing Advanced Squirrel-Search Optimization …
hybrid ensemble-learning approach, hybridizing Advanced Squirrel-Search Optimization …
Assessment of solar radiation resource and photovoltaic power potential across China based on optimized interpretable machine learning model and GIS-based …
In light of the rapidly expanding solar photovoltaic (PV) sector, it is important to provide a
deeper understanding of solar energy resources to successfully implement solar energy …
deeper understanding of solar energy resources to successfully implement solar energy …
[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 …
Climate change impact on photovoltaic power potential in China based on CMIP6 models
China has the largest worldwide cumulative installed photovoltaic (PV) capacity, which is
expected to be 1300 GW in 2050. Industrial production, population explosion and fossil fuel …
expected to be 1300 GW in 2050. Industrial production, population explosion and fossil fuel …
A state of art review on estimation of solar radiation with various models
Solar radiation is free, and very useful input for most sectors such as heat, health, tourism,
agriculture, and energy production, and it plays a critical role in the sustainability of …
agriculture, and energy production, and it plays a critical role in the sustainability of …
[HTML][HTML] Evaluation of machine learning models for predicting daily global and diffuse solar radiation under different weather/pollution conditions
D Jia, L Yang, T Lv, W Liu, X Gao, J Zhou - Renewable Energy, 2022 - Elsevier
Due to the rapid development of solar energy and photovoltaic industries in China, it is
crucial to provide the reliable and accurate solar radiation predictions. In this work, three …
crucial to provide the reliable and accurate solar radiation predictions. In this work, three …
[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 …