Reconstructing 10-km-resolution direct normal irradiance dataset through a hybrid algorithm
Evaluating, map**, and monitoring high-quality Direct Normal Irradiance (DNI) is crucial
for the design, financing, and operation of solar power plants, especially those utilizing …
for the design, financing, and operation of solar power plants, especially those utilizing …
[HTML][HTML] On vision transformer for ultra-short-term forecasting of photovoltaic generation using sky images
An accurate photovoltaic (PV) generation forecasting is important for grid scheduling and
dispatching. However, ultra-short-term PV generation forecasting is rather challenging …
dispatching. However, ultra-short-term PV generation forecasting is rather challenging …
Prediction of solar irradiance using convolutional neural network and attention mechanism-based long short-term memory network based on similar day analysis and …
X Hou, C Ju, B Wang - Heliyon, 2023 - cell.com
As one of the future's most promising clean energy sources, solar energy is the key to
develo** renewable energy. The randomness of solar irradiance can affect the efficiency …
develo** renewable energy. The randomness of solar irradiance can affect the efficiency …
Enhancing direct Normal solar Irradiation forecasting for heliostat field applications through a novel hybrid model
This study addresses the critical need for precise Direct Normal Irradiation forecasting in
concentrating solar power systems to enhance performance and manage power generation …
concentrating solar power systems to enhance performance and manage power generation …
A novel hybrid intelligent approach for solar photovoltaic power prediction considering UV index and cloud cover
The power generation from photovoltaic plants depends on varying meteorological
conditions. These meteorological conditions such as solar irradiance, temperature, and wind …
conditions. These meteorological conditions such as solar irradiance, temperature, and wind …
CloudSwinNet: A hybrid CNN-transformer framework for ground-based cloud images fine-grained segmentation
C Shi, Z Su, K Zhang, X **e, X Zhang - Energy, 2024 - Elsevier
Solar irradiance is the main factor affecting the output of a photovoltaic (PV) power station.
The dominant role of ground-based clouds on the variation of direct solar radiation in the …
The dominant role of ground-based clouds on the variation of direct solar radiation in the …
[HTML][HTML] Using sky-classification to improve the short-term prediction of irradiance with sky images and convolutional neural networks
VAM Lopez, G van Urk, PJF Doodkorte, M Zeman… - Solar Energy, 2024 - Elsevier
Clouds moving in front or away from the sun are the leading cause of irradiance variability.
These variations have a repercussion on the electricity production of photovoltaic systems …
These variations have a repercussion on the electricity production of photovoltaic systems …
Model-based predictive control of a solar hybrid thermochemical reactor for high-temperature steam gasification of biomass
Y Karout, A Curcio, J Eynard, S Thil, S Rodat… - Clean …, 2023 - mdpi.com
The present paper deals with both the modeling and the dynamic control of a solar hybrid
thermochemical reactor designed to produce syngas through the high-temperature steam …
thermochemical reactor designed to produce syngas through the high-temperature steam …
Combined ultra-short-term prediction method of PV power considering ground-based cloud images and chaotic characteristics
Y Wang, X Wang, D Hao, Y Sang, H Xue, Y Mi - Solar Energy, 2024 - Elsevier
To further improve the ultra-short-term prediction accuracy of photovoltaic (PV) power in
mutant irradiation scenarios caused by moving clouds, a combined ultra-short-term …
mutant irradiation scenarios caused by moving clouds, a combined ultra-short-term …
Prediction Method of Direct Normal Irradiance for Solar Thermal Power Plants Based on VMD-WOA-DELM
S Zhang, D Niu, Z Zhou, Y Duan… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
The Direct Normal Irradiance (DNI), being the energy source for solar thermal power plants,
can remarkably impact the reliability and efficiency of these plants because of its inherent …
can remarkably impact the reliability and efficiency of these plants because of its inherent …