A novel deep learning approach for short-term wind power forecasting based on infinite feature selection and recurrent neural network
出版年份 2018 全文链接
标题
A novel deep learning approach for short-term wind power forecasting based on infinite feature selection and recurrent neural network
作者
关键词
-
出版物
Journal of Renewable and Sustainable Energy
Volume 10, Issue 4, Pages 043303
出版商
AIP Publishing
发表日期
2018-07-13
DOI
10.1063/1.5024297
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。- Near-Optimal Bounds for Phase Synchronization
- (2018) Yiqiao Zhong et al. SIAM JOURNAL ON OPTIMIZATION
- Disturbances Classification Based on a Model Order Selection Method for Power Quality Monitoring
- (2017) Zakarya Oubrahim et al. IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
- Short-term wind speed forecasting using wavelet transformation and AdaBoosting neural networks in Yunnan wind farm
- (2017) Haijian Shao et al. IET Renewable Power Generation
- Wind power project size and component costs: An Alaska case study
- (2017) Jeremy VanderMeer et al. Journal of Renewable and Sustainable Energy
- Coordinated multi-area energy and regulation joint dispatch under wind power uncertainty
- (2017) Meysam Doostizadeh et al. Journal of Renewable and Sustainable Energy
- Optimum efficiency control of a wind turbine with unknown desired trajectory and actuator faults
- (2017) Hamed Habibi et al. Journal of Renewable and Sustainable Energy
- Economic dispatch with CHP and wind power using probabilistic sequence theory and hybrid heuristic algorithm
- (2017) Chenyu Wu et al. Journal of Renewable and Sustainable Energy
- Dispatching Stochastic Heterogeneous Resources Accounting for Grid and Battery Losses
- (2017) Eleni Stai et al. IEEE Transactions on Smart Grid
- A New Fuzzy-Based Combined Prediction Interval for Wind Power Forecasting
- (2016) Abdollah Kavousi-Fard et al. IEEE TRANSACTIONS ON POWER SYSTEMS
- Short-term wind speed forecasting using the wavelet decomposition and AdaBoost technique in wind farm of East China
- (2016) Haijian Shao et al. IET Generation Transmission & Distribution
- Transfer learning for short-term wind speed prediction with deep neural networks
- (2016) Qinghua Hu et al. RENEWABLE ENERGY
- Wind power forecast using wavelet neural network trained by improved Clonal selection algorithm
- (2015) Hamed Chitsaz et al. ENERGY CONVERSION AND MANAGEMENT
- Control of Single-Phase Grid-Connected Converters with LCL Filters Using Recurrent Neural Network and Conventional Control Methods
- (2015) Xingang Fu et al. IEEE TRANSACTIONS ON POWER ELECTRONICS
- Wind Power Forecasting Using Neural Network Ensembles With Feature Selection
- (2015) Song Li et al. IEEE Transactions on Sustainable Energy
- Current status and future advances for wind speed and power forecasting
- (2014) Jaesung Jung et al. RENEWABLE & SUSTAINABLE ENERGY REVIEWS
- 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
Publish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn MoreAdd your recorded webinar
Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.
Upload Now