Autoencoder for wind power prediction
Abstract Successful integration of renewable energy sources like wind power into smart grids largely depends on accurate prediction of power from these intermittent sources. Production of wind power cannot be controlled as the wind speed can vary based on weather conditions. Accurate prediction of w...
Main Authors: | Sumaira Tasnim, Ashfaqur Rahman, Amanullah Maung Than Oo, Md. Enamul Haque |
---|---|
Format: | Article |
Language: | English |
Published: |
SpringerOpen
2017-12-01
|
Series: | Renewables: Wind, Water, and Solar |
Online Access: | http://link.springer.com/article/10.1186/s40807-017-0044-x |
Similar Items
-
Tap-Changing Operations of Multiple Transformers using ANN Based Controller
by: Md Fakhrul Islam, et al.
Published: (2013-05-01) -
Partial Feedback Linearizing Model Predictive Controllers for Multiple Photovoltaic Units Connected to Grids through a Point of Common Coupling
by: Tahsin Fahima Orchi, et al.
Published: (2018-09-01) -
A non‐linear adaptive excitation control scheme for feedback linearized synchronous generations in multimachine power systems
by: Tushar Kanti Roy, et al.
Published: (2021-05-01) -
Automatic network capacitive balancing technique for resonant grounded power distribution systems
by: Md Abdul Barik, et al.
Published: (2020-12-01) -
Sub Synchronous Oscillations under High Penetration of Renewables—A Review of Existing Monitoring and Damping Methods, Challenges, and Research Prospects
by: Uvini Perera, et al.
Published: (2022-11-01)