A novel offshore wind power prediction model based on TCN-DANet-sparse transformer and considering spatio-temporal coupling in multiple wind farms

Recent advances in convolutional neural networks

Jiuxiang Gu, Zhenhua Wang, Jason Kuen et al. · Pattern Recognition · 2017 · 6.1K citations

Convolutional Neural Network, Machine Vision, Machine Learning +6

Informer: Beyond Efficient Transformer for Long Sequence Time-Series Forecasting

Haoyi Zhou, Shanghang Zhang, Jieqi Peng et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 2021 · 5.3K citations · Full text

Structured Prediction, Forecasting Methodology, Probabilistic Forecasting +15

Current methods and advances in forecasting of wind power generation

Aoife Foley, Paul Leahy, Antonino Marvuglia et al. · Renewable Energy · 2011 · 1.3K citations

Electrical Engineering, Engineering, Wind Power Generation +8

Enhancing the Locality and Breaking the Memory Bottleneck of Transformer on Time Series Forecasting

Shiyang Li, Xiaoyong Jin, Yao Xuan et al. · arXiv (Cornell University) · 2019 · 1K citations · Full text

Structured Prediction, Forecasting Methodology, Engineering +16

ARMA based approaches for forecasting the tuple of wind speed and direction

Ergin Erdem, Jing Shi · Applied Energy · 2010 · 886 citations

Meteorology, Forecasting Methodology, Numerical Weather Prediction +9