Wind Power Prediction Using Artificial Neural Network Model: A Case Study
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-51167-7_16
Reference14 articles.
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3. T. Haidi, B. Cheddadi, Wind energy integration in Africa: Development, impacts and barriers. Int. J. Electr. Comput. Eng. IJECE 12(5), 4614 (2022). https://doi.org/10.11591/ijece.v12i5.pp4614-4622
4. W.-Y. Chang, A literature review of wind forecasting methods. J. Power Energy Eng. 02(04), 161–168 (2014). https://doi.org/10.4236/jpee.2014.24023
5. T. Haidi, B. Cheddadi, F. El Mariami, Z. El Idrissi, A. Tarrak, Wind energy development in Morocco: Evolution and impacts. Int. J. Electr. Comput. Eng. IJECE 11(4), 2811 (2021). https://doi.org/10.11591/ijece.v11i4.pp2811-2819
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