A hybrid framework for forecasting power generation of multiple renewable energy sources
The accurate power generation forecast of multiple renewable energy sources is significant
for the power scheduling of renewable energy systems. However, previous studies focused …
for the power scheduling of renewable energy systems. However, previous studies focused …
History and trends in solar irradiance and PV power forecasting: A preliminary assessment and review using text mining
Text mining is an emerging topic that advances the review of academic literature. This paper
presents a preliminary study on how to review solar irradiance and photovoltaic (PV) power …
presents a preliminary study on how to review solar irradiance and photovoltaic (PV) power …
Solar radiation forecasting using artificial neural network and random forest methods: Application to normal beam, horizontal diffuse and global components
Three methods, smart persistence, artificial neural network and random forest, are compared
to forecast the three components of solar irradiation (global horizontal, beam normal and …
to forecast the three components of solar irradiation (global horizontal, beam normal and …
A review on the selected applications of forecasting models in renewable power systems
This paper presents a literature review on the selected applications of renewable resource
and power forecasting models to facilitate the optimal integration of renewable energy (RE) …
and power forecasting models to facilitate the optimal integration of renewable energy (RE) …
[HTML][HTML] Advances in solar forecasting: Computer vision with deep learning
Renewable energy forecasting is crucial for integrating variable energy sources into the grid.
It allows power systems to address the intermittency of the energy supply at different …
It allows power systems to address the intermittency of the energy supply at different …
[HTML][HTML] Omnivision forecasting: Combining satellite and sky images for improved deterministic and probabilistic intra-hour solar energy predictions
Integrating large proportions of intermittent renewable energy sources into electric grids is
challenging. A well-established approach aimed at addressing this difficulty involves the …
challenging. A well-established approach aimed at addressing this difficulty involves the …
Benchmarking of solar irradiance nowcast performance derived from all-sky imagers
Fluctuations of the incoming solar irradiance impact the power generation from photovoltaic
and concentrating solar thermal power plants. Accurate solar nowcasting becomes …
and concentrating solar thermal power plants. Accurate solar nowcasting becomes …
Concentrating solar power technologies
Nowadays, the evolution of solar energy use has turned into a profound issue because of
the implications of many points of view, such as technical, social, economic and …
the implications of many points of view, such as technical, social, economic and …
Evaluation of opaque deep-learning solar power forecast models towards power-grid applications
L Cheng, H Zang, Z Wei, F Zhang, G Sun - Renewable Energy, 2022 - Elsevier
Solar photovoltaic power plays a vital role in global renewable energy power generation,
and an accurate solar power forecast can further promote applications in integrated power …
and an accurate solar power forecast can further promote applications in integrated power …
Applications for solar irradiance nowcasting in the control of microgrids: A review
The integration of solar photovoltaic (PV) into electricity networks introduces technical
challenges due to varying PV output. Rapid ramp events due to cloud movements are of …
challenges due to varying PV output. Rapid ramp events due to cloud movements are of …