A hybrid methodology using VMD and disentangled features for wind speed forecasting
S Parri, K Teeparthi, V Kosana - Energy, 2024 - Elsevier
Wind energy is gaining worldwide attention due to its renewable and ecological
characteristics. The accurate prediction of wind speed presents a challenge due to its …
characteristics. The accurate prediction of wind speed presents a challenge due to its …
VMD-SCINet: a hybrid model for improved wind speed forecasting
S Parri, K Teeparthi - Earth Science Informatics, 2024 - Springer
Wind energy is gaining importance owing to its renewable and environmentally friendly
characteristics. However, the variability and stochastic nature of wind speed makes accurate …
characteristics. However, the variability and stochastic nature of wind speed makes accurate …
Wind farm cluster power prediction based on graph deviation attention network with learnable graph structure and dynamic error correction during load peak and …
M Yang, Y Guo, T Huang, F Fan, C Ma, G Fang - Energy, 2024 - Elsevier
The power prediction accuracy of wind farm cluster (WFC) seriously affects its consumption
and the safe and stable operation of power system. The fluctuation of power between wind …
and the safe and stable operation of power system. The fluctuation of power between wind …
SVMD-TF-QS: An efficient and novel hybrid methodology for the wind speed prediction
S Parri, K Teeparthi - Expert Systems with Applications, 2024 - Elsevier
Wind power is gaining significant attention as a renewable and environmentally friendly
energy source. However, accurate forecasting of wind speed poses challenges due to its …
energy source. However, accurate forecasting of wind speed poses challenges due to its …
Forecasting model for short-term wind speed using robust local mean decomposition, deep neural networks, intelligent algorithm, and error correction
J Li, M Liu, L Wen - Frontiers in Energy Research, 2024 - frontiersin.org
Wind power generation has aroused widespread concern worldwide. Accurate prediction of
wind speed is very important for the safe and economic operation of the power grid. This …
wind speed is very important for the safe and economic operation of the power grid. This …
A novel combined wind speed forecasting system based on fuzzy granulation and multi-objective optimization
C Yang, J Wang - Journal of Renewable and Sustainable Energy, 2024 - pubs.aip.org
With the increasing application of wind energy, reliable wind speed prediction has become
imperative. However, prior studies predominantly concentrated on single-model predictions …
imperative. However, prior studies predominantly concentrated on single-model predictions …
Deep Learning for Protein-Protein Contact Prediction Using Evolutionary Scale Modeling (ESM) Feature
L Xu - International Artificial Intelligence Conference, 2023 - Springer
Protein-protein interactions (PPIs) are essential for various biological processes, and their
binding sites provide important information for cell function and drug design. Traditional …
binding sites provide important information for cell function and drug design. Traditional …