Wind Power Forecasting Based on Ensemble Empirical Mode Decomposition with Generalized Regression Neural Network Based on Cross-Validated Method
Author:
Publisher
Springer Science and Business Media LLC
Subject
Electrical and Electronic Engineering
Link
http://link.springer.com/content/pdf/10.1007/s42835-019-00186-x.pdf
Reference25 articles.
1. Yoder M, Hering AS, Navidi WC et al (2014) Short-term forecasting of categorical changes in wind power with Markov chain models. Wind Energy 17(9):1425–1439
2. Lazic L, Pejanovic G, Zivkovic M et al (2014) Improved wind forecasts for wind power generation using the Eta model and MOS (model output statistics) method. Energy 73:567–574
3. Ramesh Babu N, Arulmozhivarman P (2013) Improving forecast accuracy of wind speed using wavelet transform and neural networks. J Electr Eng Technol 8:559–564
4. Lenzi A, Steinsland I, Pinson P (2018) Benefits of spatiotemporal modeling for short-term wind power forecasting at both individual and aggregated levels. Environmetrics 29:e2493
5. Abdoos AA (2016) A new intelligent method based on combination of VMD and ELM for short term wind power forecasting. Neurocomputing 203:111–120
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