Wind power forecasting based on SCINet, reversible instance normalization, and knowledge distillation
出版年份 2023 全文链接
标题
Wind power forecasting based on SCINet, reversible instance normalization, and knowledge distillation
作者
关键词
-
出版物
Journal of Renewable and Sustainable Energy
Volume 15, Issue 5, Pages -
出版商
AIP Publishing
发表日期
2023-10-19
DOI
10.1063/5.0166061
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- Multi-Step Wind Power Forecasting with Stacked Temporal Convolutional Network (S-TCN)
- (2023) Huu Khoa Minh Nguyen et al. Energies
- Randomising the Simple Recurrent Network: a lightweight, energy-efficient RNN model with application to forecasting problems
- (2023) Mohammed Elmahdi Khennour et al. NEURAL COMPUTING & APPLICATIONS
- A Hybrid Forecasting Model Based on CNN and Informer for Short-Term Wind Power
- (2022) Hai-Kun Wang et al. Frontiers in Energy Research
- Short-term wind speed forecasting based on spatial-temporal graph transformer networks
- (2022) Xiaoxin Pan et al. ENERGY
- Wind Power Generation Forecast Based on Multi-Step Informer Network
- (2022) Xiaohan Huang et al. Energies
- A Multi-Step Prediction Method for Wind Power Based on Improved TCN to Correct Cumulative Error
- (2021) Haifeng Luo et al. Frontiers in Energy Research
- A review of wind speed and wind power forecasting with deep neural networks
- (2021) Yun Wang et al. APPLIED ENERGY
- A review of very short-term wind and solar power forecasting
- (2021) R. Tawn et al. RENEWABLE & SUSTAINABLE ENERGY REVIEWS
- A hybrid deep learning-based neural network for 24-h ahead wind power forecasting
- (2019) Ying-Yi Hong et al. APPLIED ENERGY
- Statistical and Machine Learning forecasting methods: Concerns and ways forward
- (2018) Spyros Makridakis et al. PLoS One
- Spatio-temporal Graph Deep Neural Network for Short-term Wind Speed Forecasting
- (2018) Mahdi Khodayar et al. IEEE Transactions on Sustainable Energy
- Wind farm power prediction based on wavelet decomposition and chaotic time series
- (2011) Xueli An et al. EXPERT SYSTEMS WITH APPLICATIONS
- Current methods and advances in forecasting of wind power generation
- (2011) Aoife M. Foley et al. RENEWABLE ENERGY
- ARMA based approaches for forecasting the tuple of wind speed and direction
- (2010) Ergin Erdem et al. APPLIED ENERGY
- Improvements in wind speed forecasts for wind power prediction purposes using Kalman filtering
- (2008) P. Louka et al. JOURNAL OF WIND ENGINEERING AND INDUSTRIAL AERODYNAMICS
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExploreCreate your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create Now