Short-Term Prediction for Wind Energy Systems Using Atmospheric Models
Author:
Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-30171-1_39
Reference24 articles.
1. Asha J, Rishidas S, SanthoshKumar S, Reena P (2020) Analysis of Temperature Prediction Using Random Forests and Facebook Prophet Algorithms. Innovative Data Communication Technologies and Application 46: 432–439. https://doi.org/10.1007/978-3-030-38040-3_49
2. Bessac J, Constantinescu E, Anitescu M (2018) Stochastic Simulation of Predictive Space–time Scenarios of Wind Speed Using Observations and Physical Model Outputs. The Annals of Applied Statistics 12(1):432–458. https://doi.org/10.1214/17-AOAS1099
3. Cassola F, Burlando M (2012) Wind speed and wind energy forecast through Kalman filtering of Numerical Weather Prediction model output. Applied Energy 99: 154–166. https://doi.org/10.1016/j.apenergy.2012.03.054
4. Damousis IG, Alexiadis MC, Theocharis JB, Dokopoulos PS (2004) A fuzzy model for wind speed prediction and power generation in wind parks using spatial correlation. IEEE Transactions on Sustainable Energy 19(2):352–361. https://doi.org/10.1109/TEC.2003.821865
5. Ezzat, A., Jun, M., Yu, D., 2019, Spatio-temporal Short-term Wind Forecast: A Calibrated Regime-switching Method. The Annals of Applied Statistics 13(3):1484–1510. https://doi.org/10.1214/19-AOAS1243
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