CHALLENGES IN TRANSMISSION OF WIND POWER AND WAYS TO MITIGATE
Short-term photovoltaic solar power forecasting using a hybrid Wavelet-PSO-SVM model based on SCADA and Meteorological information - ScienceDirect
Extensive comparison of physical models for photovoltaic power forecasting - ScienceDirect
CFD down-scaling and online measurements for short-term wind power forecasting by Meteodyn Renewables - Issuu
PDF) Wind Speed Forecasting Based on Extreme Gradient Boosting
Short-term wind power forecasting based on support vector machine with improved dragonfly algorithm - ScienceDirect
Energies | Free Full-Text | Short-Term Wind Power Forecasting at the Wind Farm Scale Using Long-Range Doppler LiDAR
Uncovering wind power forecasting uncertainty sources and their propagation through the whole modelling chain - ScienceDirect
Analytical study of Wind power prediction system by using Feed Forward Neural Network
Long-Term Wind Speed Forecasting—A Review | SpringerLink
Physical Approach to Short-Term Wind Power Prediction: Lange, Matthias, Focken, Ulrich: 9783540256625: Amazon.com: Books
Optimal combinaison of CFD modeling and statistical learning for short-term wind power forecasting
The state-of-the-art in short-term prediction of wind power. A literature overview
Short-term wind power prediction based on multi-scale tuple matching
A multi-scale time-series dataset with benchmark for machine learning in decarbonized energy grids | Scientific Data
A review of wind power and wind speed forecasting methods with different time horizons | Semantic Scholar
A regressive machine-learning approach to the non-linear complex FAST model for hybrid floating offshore wind turbines with integrated oscillating water columns | Scientific Reports
Ensemble approach for short term load forecasting in wind energy system using hybrid algorithm | SpringerLink
Applied Sciences | Free Full-Text | Wind Power Short-Term Prediction Based on LSTM and Discrete Wavelet Transform
Frontiers | Research on Ultra-Short-Term Prediction Model of Wind Power Based on Attention Mechanism and CNN-BiGRU Combined
Predicting Wind Power with Greater Accuracy
Physical Approach to Short-Term Wind Power Prediction: Lange, Matthias, Focken, Ulrich: 9783540256625: Amazon.com: Books
A review and taxonomy of wind and solar energy forecasting methods based on deep learning - ScienceDirect
